Public

<init>

Set the number of clusters (-1 to select by CV).

setNumClusters

estimate the number of clusters by cross validation on the training data.

CVClusters

The E step of the EM algorithm. Estimate cluster membership probabilities.

Initialize the global aggregated estimators and storage.

EM_Init

EM_Report

M_reEstimate

Generates a clusterer. Has to initialize all fields of the clusterer that are
not being set via opti

buildClusterer

distributionForInstance

doEM

calculate prior probabilites for the clusters

estimate_priors

Returns default capabilities of the clusterer (i.e., the ones of SimpleKMeans).

getCapabilities

Get the maximum number of clusters to consider when cross-validating

getMaximumNumberOfClusters

Get the minimum improvement in cross-validated log likelihood required to
consider increasing the nu

getMinLogLikelihoodImprovementCV

Get the minimum improvement in log likelihood necessary to perform another
iteration of the E and M 

getMinLogLikelihoodImprovementIterating

Get the minimum allowable standard deviation.

getMinStdDev

getNumClusters

getNumExecutionSlots

Get the number of folds to use when cross-validating to find the best number of
clusters.

getNumFolds

Updating database using SQL prepared statement

java.nio.file.Path

A java.util.Queue that additionally supports operations that wait for the queue
to become non-empty 

java.util.concurrent.BlockingQueue

The annotation structure.An instance of this class is returned bygetAnnotations() in AnnotationsAttr

javassist.bytecode.annotation.Annotation

Abstract superclass of object loading (and querying) strategies. This class
implements useful common

org.hibernate.loader.Loader

The LoggerFactory is a utility class producing Loggers for various logging APIs,
most notably for lo

org.slf4j.LoggerFactory

Class that models an arbitrary location in a Resource.Typically used to track
the location of proble

org.springframework.beans.factory.parsing.Location

Return the contained value, if present, otherwise throw an exception to be
created by the provided s

orElseThrow

Sets the general request property. If a property with the key already exists,
overwrite its value wi

setRequestProperty

onCreateOptionsMenu

/**
   * Parses a given list of options.
   * <p/>
   * 
   * 
   * Valid options are: <p/>
   * 
   * <pre> -N &lt;num&gt;
   *  number of clusters. If omitted or -1 specified, then 
   *  cross validation is used to select the number of clusters.</pre>
   * 
   * <pre> -X &lt;num&gt;
   *  Number of folds to use when cross-validating to find the best number of clusters.</pre>
   * 
   * <pre> -K &lt;num&gt;
   *  Number of runs of k-means to perform.
   *  (default 10)</pre>
   * 
   * <pre> -max &lt;num&gt;
   *  Maximum number of clusters to consider during cross-validation. If omitted or -1 specified, then 
   *  there is no upper limit on the number of clusters.</pre>
   * 
   * <pre> -ll-cv &lt;num&gt;
   *  Minimum improvement in cross-validated log likelihood required
   *  to consider increasing the number of clusters.
   *  (default 1e-6)</pre>
   * 
   * <pre> -I &lt;num&gt;
   *  max iterations.
   *  (default 100)</pre>
   * 
   * <pre> -ll-iter &lt;num&gt;
   *  Minimum improvement in log likelihood required
   *  to perform another iteration of the E and M steps.
   *  (default 1e-6)</pre>
   * 
   * <pre> -V
   *  verbose.</pre>
   * 
   * <pre> -M &lt;num&gt;
   *  minimum allowable standard deviation for normal density
   *  computation
   *  (default 1e-6)</pre>
   * 
   * <pre> -O
   *  Display model in old format (good when there are many clusters)
   * </pre>
   * 
   * <pre> -num-slots &lt;num&gt;
   *  Number of execution slots.
   *  (default 1 - i.e. no parallelism)</pre>
   * 
   * <pre> -S &lt;num&gt;
   *  Random number seed.
   *  (default 100)</pre>
   * 
   * <pre> -output-debug-info
   *  If set, clusterer is run in debug mode and
   *  may output additional info to the console</pre>
   * 
   * <pre> -do-not-check-capabilities
   *  If set, clusterer capabilities are not checked before clusterer is built
   *  (use with caution).</pre>
   * 
   * 
   * 
   * @param options the list of options as an array of strings
   * @throws Exception if an option is not supported
   */

How to use setMinStdDevmethodin weka.clusterers.EM

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How to use
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