ml_kmeans_cluster_eval

R interface to Apache Spark, a fast and general
engine for big data processing, see <https://spark.apache.org/>. This
package supports connecting to local and remote Apache Spark clusters,
provides a 'dplyr' compatible back-end, and provides an interface to
Spark's built-in machine learning algorithms.

Edgar Ruiz

sparklyr

R Interface to Apache Spark

Javier Luraschi

Kevin Kuo

Kevin Ushey

JJ Allaire

Samuel Macedo

Hossein Falaki

Lu Wang

Andy Zhang

Yitao Li

Jozef Hajnala

Maciej Szymkiewicz

Wil Davis

 RStudio

 The Apache Software Foundation

ml_kmeans_cluster_eval function

<dl><dt>model</dt>
<dd>A fitted K-means model returned by <code>ml_kmeans()</code></dd>
<dt>dataset</dt>
<dd>Dataset on which to calculate K-means cost</dd></dl>

Arguments

Evaluate a K-mean clustering — ml_kmeans_cluster_eval

<dl>

<dt>model</dt>
<dd>A fitted K-means model returned by <code>ml_kmeans()</code></dd>


<dt>dataset</dt>
<dd>Dataset on which to calculate K-means cost</dd>

</dl>

Evaluate a K-mean clustering

ml_kmeans_cluster_eval: Evaluate a K-mean clustering

Description

Arguments