> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kinetica.com/llms.txt
> Use this file to discover all available pages before exploring further.

# kinetica.AggregateKMeansResponse

> kinetica.AggregateKMeansResponse — Kinetica C# API

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    <p>A set of results returned by <a className="el" href="/content/api/cs/classkinetica_1_1Kinetica/aggregatekmeans#abc00522ae443d7867f3ee878a5ad7221">Kinetica.aggregateKMeans</a>. <a href="#details">More...</a></p>

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            Classes
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        <td className="memItemLeft" align="right" valign="top">struct  </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="/content/api/cs/structkinetica_1_1AggregateKMeansResponse_1_1Info">Info</a></td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">A set of string constants for the parameter <a className="el" href="#a7f40dff61a596babda19ad3150e6a328" title="Additional information.">AggregateKMeansResponse.info</a>. <a href="/content/api/cs/structkinetica_1_1AggregateKMeansResponse_1_1Info#details">More...</a><br /></td>
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            Properties
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        <td className="memItemLeft" align="right" valign="top">IList\< IList\< double > > </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#afaa0e65a24929c094255e801512fb84b">means</a> = new List\<IList\<double>>()<code> \[get, set]</code></td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">The k-mean values found. <br /></td>
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        <td className="memItemLeft" align="right" valign="top">IList\< long > </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#a904ada38fc790169d8afeb0e7238b39a">counts</a> = new List\<long>()<code> \[get, set]</code></td>
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        <td className="mdescRight">The number of elements in the cluster closest the corresponding k-means values. <br /></td>
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        <td className="memItemLeft" align="right" valign="top">IList\< double > </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#a8bff5ff2be6cfe8d5002be818cfbbb10">rms\_dists</a> = new List\<double>()<code> \[get, set]</code></td>
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        <td className="mdescRight">The root mean squared distance of the elements in the cluster for each of the k-means values. <br /></td>
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        <td className="memItemLeft" align="right" valign="top">long </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#ae012839bdeb9d1067f0d7342858815d6">count</a><code> \[get, set]</code></td>
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        <td className="mdescRight">The total count of all the clusters - will be the size of the input table. <br /></td>
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        <td className="memItemLeft" align="right" valign="top">double </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#a7c54204a47041d47a854a98d8e9967c1">rms\_dist</a><code> \[get, set]</code></td>
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        <td className="mdescRight">The sum of all the rms\_dists - the value the k-means algorithm is attempting to minimize. <br /></td>
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        <td className="memItemLeft" align="right" valign="top">double </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#a6078e6ccfe3214b0ca6afa6a9d47657f">tolerance</a><code> \[get, set]</code></td>
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        <td className="mdescRight">The distance between the last two iterations of the algorithm before it quit. <br /></td>
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        <td className="memItemLeft" align="right" valign="top">int </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#a82c0cb2471f2359a94e006f41bbfa44f">num\_iters</a><code> \[get, set]</code></td>
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        <td className="mdescRight">The number of iterations the algorithm executed before it quit. <br /></td>
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        <td className="memItemLeft" align="right" valign="top">IDictionary\< string, string > </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#a7f40dff61a596babda19ad3150e6a328">info</a> = new Dictionary\<string, string>()<code> \[get, set]</code></td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Additional information. <br /></td>
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      <tr className="inherit_header properties_classkinetica_1_1KineticaData">
        <td colSpan="2"> Properties inherited from <a className="el" href="/content/api/cs/classkinetica_1_1KineticaData">kinetica.KineticaData</a></td>
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      <tr className="memitem:ae35f20177341ed020cb1c92195621499 inherit properties_classkinetica_1_1KineticaData" id="r_ae35f20177341ed020cb1c92195621499">
        <td className="memItemLeft" align="right" valign="top">Schema </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="/content/api/cs/classkinetica_1_1KineticaData#ae35f20177341ed020cb1c92195621499">Schema</a><code> \[get]</code></td>
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      <tr className="memdesc:ae35f20177341ed020cb1c92195621499 inherit properties_classkinetica_1_1KineticaData">
        <td className="mdescLeft"> </td>
        <td className="mdescRight">Avro Schema for this class. <br /></td>
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      <tr className="separator:ae35f20177341ed020cb1c92195621499 inherit properties_classkinetica_1_1KineticaData">
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            Additional Inherited Members
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        <td colSpan="2"> Public Member Functions inherited from <a className="el" href="/content/api/cs/classkinetica_1_1KineticaData">kinetica.KineticaData</a></td>
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      <tr className="memitem:a6a494237f126f79a7f478b7614323482 inherit pub_methods_classkinetica_1_1KineticaData" id="r_a6a494237f126f79a7f478b7614323482">
        <td className="memItemLeft" align="right" valign="top"> </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="/content/api/cs/classkinetica_1_1KineticaData#a6a494237f126f79a7f478b7614323482">KineticaData</a> (<a className="el" href="/content/api/cs/classkinetica_1_1KineticaType">KineticaType</a> type)</td>
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      <tr className="memdesc:a6a494237f126f79a7f478b7614323482 inherit pub_methods_classkinetica_1_1KineticaData">
        <td className="mdescLeft"> </td>
        <td className="mdescRight">Constructor from <a className="el" href="/content/api/cs/classkinetica_1_1Kinetica" title="API to talk to Kinetica Database.">Kinetica</a> Type. <br /></td>
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      <tr className="separator:a6a494237f126f79a7f478b7614323482 inherit pub_methods_classkinetica_1_1KineticaData">
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      <tr className="memitem:ac8cbdce08f2dd7d0d02bf0f279d79b79 inherit pub_methods_classkinetica_1_1KineticaData" id="r_ac8cbdce08f2dd7d0d02bf0f279d79b79">
        <td className="memItemLeft" align="right" valign="top"> </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="/content/api/cs/classkinetica_1_1KineticaData#ac8cbdce08f2dd7d0d02bf0f279d79b79">KineticaData</a> (System.Type type=null)</td>
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      <tr className="memdesc:ac8cbdce08f2dd7d0d02bf0f279d79b79 inherit pub_methods_classkinetica_1_1KineticaData">
        <td className="mdescLeft"> </td>
        <td className="mdescRight">Default constructor, with optional System.Type. <br /></td>
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      <tr className="separator:ac8cbdce08f2dd7d0d02bf0f279d79b79 inherit pub_methods_classkinetica_1_1KineticaData">
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        <td className="memItemLeft" align="right" valign="top">object </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="/content/api/cs/classkinetica_1_1KineticaData#a8fceb0fc6b641ef28b7548bc2820e48f">Get</a> (int fieldPos)</td>
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      <tr className="memdesc:a8fceb0fc6b641ef28b7548bc2820e48f inherit pub_methods_classkinetica_1_1KineticaData">
        <td className="mdescLeft"> </td>
        <td className="mdescRight">Retrieve a specific property from this object. <br /></td>
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      <tr className="separator:a8fceb0fc6b641ef28b7548bc2820e48f inherit pub_methods_classkinetica_1_1KineticaData">
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      <tr className="memitem:ad02b0bac0aa3f8a64b0ec46a94bd06f0 inherit pub_methods_classkinetica_1_1KineticaData" id="r_ad02b0bac0aa3f8a64b0ec46a94bd06f0">
        <td className="memItemLeft" align="right" valign="top">void </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="/content/api/cs/classkinetica_1_1KineticaData#ad02b0bac0aa3f8a64b0ec46a94bd06f0">Put</a> (int fieldPos, object fieldValue)</td>
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      <tr className="memdesc:ad02b0bac0aa3f8a64b0ec46a94bd06f0 inherit pub_methods_classkinetica_1_1KineticaData">
        <td className="mdescLeft"> </td>
        <td className="mdescRight">Write a specific property to this object. <br /></td>
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      <tr className="separator:ad02b0bac0aa3f8a64b0ec46a94bd06f0 inherit pub_methods_classkinetica_1_1KineticaData">
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      <tr className="inherit_header pub_static_methods_classkinetica_1_1KineticaData">
        <td colSpan="2"> Static Public Member Functions inherited from <a className="el" href="/content/api/cs/classkinetica_1_1KineticaData">kinetica.KineticaData</a></td>
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      <tr className="memitem:a9474d49c9399dbe86f31a3ba07ff4691 inherit pub_static_methods_classkinetica_1_1KineticaData" id="r_a9474d49c9399dbe86f31a3ba07ff4691">
        <td className="memItemLeft" align="right" valign="top">static ? RecordSchema </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="/content/api/cs/classkinetica_1_1KineticaData#a9474d49c9399dbe86f31a3ba07ff4691">SchemaFromType</a> (System.Type t, <a className="el" href="/content/api/cs/classkinetica_1_1KineticaType">KineticaType</a>? ktype=null)</td>
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      <tr className="memdesc:a9474d49c9399dbe86f31a3ba07ff4691 inherit pub_static_methods_classkinetica_1_1KineticaData">
        <td className="mdescLeft"> </td>
        <td className="mdescRight">Create an Avro Schema from a System.Type and a <a className="el" href="/content/api/cs/classkinetica_1_1KineticaType" title="Describes a Kinetica record type — its columns, properties, and Avro schema — and can create the type...">KineticaType</a>. <br /></td>
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    <h2 className="groupheader">Detailed Description</h2>

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      <p>A set of results returned by <a className="el" href="/content/api/cs/classkinetica_1_1Kinetica/aggregatekmeans#abc00522ae443d7867f3ee878a5ad7221">Kinetica.aggregateKMeans</a>. </p>
      <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs#L421">421</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs">AggregateKMeans.cs</a>.</p>
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    <h2 className="groupheader">Property Documentation</h2>

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    <h2 className="memtitle"><span className="permalink"><a href="#ae012839bdeb9d1067f0d7342858815d6">◆ </a></span>count</h2>

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                  <td className="memname">long kinetica.AggregateKMeansResponse.count</td>
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            <td className="mlabels-right"> <span className="mlabels"><span className="mlabel get">get</span><span className="mlabel set">set</span></span> </td>
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        <p>The total count of all the clusters - will be the size of the input table. </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs#L446">446</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs">AggregateKMeans.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#a904ada38fc790169d8afeb0e7238b39a">◆ </a></span>counts</h2>

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                  <td className="memname">IList\<long> kinetica.AggregateKMeansResponse.counts = new List\<long>()</td>
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            <td className="mlabels-right"> <span className="mlabels"><span className="mlabel get">get</span><span className="mlabel set">set</span></span> </td>
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        <p>The number of elements in the cluster closest the corresponding k-means values. </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs#L438">438</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs">AggregateKMeans.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#a7f40dff61a596babda19ad3150e6a328">◆ </a></span>info</h2>

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                  <td className="memname">IDictionary\<string, string> kinetica.AggregateKMeansResponse.info = new Dictionary\<string, string>()</td>
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            <td className="mlabels-right"> <span className="mlabels"><span className="mlabel get">get</span><span className="mlabel set">set</span></span> </td>
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        <p>Additional information. </p>

        <ul>
          <li> <a className="el" href="/content/api/cs/structkinetica_1_1AggregateKMeansResponse_1_1Info#a35cce0ebdb3f7ee429e50b44e9ea695a">QUALIFIED\_RESULT\_TABLE\_NAME</a>: The fully qualified name of the result table (i.e. including the schema) used to store the results. </li>
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        <p>The default value is an empty Dictionary.</p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs#L471">471</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs">AggregateKMeans.cs</a>.</p>
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                  <td className="memname">IList\<IList\<double> > kinetica.AggregateKMeansResponse.means = new List\<IList\<double>>()</td>
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            <td className="mlabels-right"> <span className="mlabels"><span className="mlabel get">get</span><span className="mlabel set">set</span></span> </td>
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        <p>The k-mean values found. </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs#L434">434</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs">AggregateKMeans.cs</a>.</p>
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                  <td className="memname">int kinetica.AggregateKMeansResponse.num\_iters</td>
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            <td className="mlabels-right"> <span className="mlabels"><span className="mlabel get">get</span><span className="mlabel set">set</span></span> </td>
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        <p>The number of iterations the algorithm executed before it quit. </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs#L458">458</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs">AggregateKMeans.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#a7c54204a47041d47a854a98d8e9967c1">◆ </a></span>rms\_dist</h2>

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                  <td className="memname">double kinetica.AggregateKMeansResponse.rms\_dist</td>
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            <td className="mlabels-right"> <span className="mlabels"><span className="mlabel get">get</span><span className="mlabel set">set</span></span> </td>
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        <p>The sum of all the rms\_dists - the value the k-means algorithm is attempting to minimize. </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs#L450">450</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs">AggregateKMeans.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#a8bff5ff2be6cfe8d5002be818cfbbb10">◆ </a></span>rms\_dists</h2>

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                  <td className="memname">IList\<double> kinetica.AggregateKMeansResponse.rms\_dists = new List\<double>()</td>
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            <td className="mlabels-right"> <span className="mlabels"><span className="mlabel get">get</span><span className="mlabel set">set</span></span> </td>
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        <p>The root mean squared distance of the elements in the cluster for each of the k-means values. </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs#L442">442</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs">AggregateKMeans.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#a6078e6ccfe3214b0ca6afa6a9d47657f">◆ </a></span>tolerance</h2>

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                  <td className="memname">double kinetica.AggregateKMeansResponse.tolerance</td>
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            <td className="mlabels-right"> <span className="mlabels"><span className="mlabel get">get</span><span className="mlabel set">set</span></span> </td>
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        <p>The distance between the last two iterations of the algorithm before it quit. </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs#L454">454</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs">AggregateKMeans.cs</a>.</p>
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    <hr />

    The documentation for this class was generated from the following file:

    <ul>
      <li>Kinetica/Protocol/<a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateKMeans.cs">AggregateKMeans.cs</a></li>
    </ul>
  </div>
</div>


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