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

Finding current android device location

The GridLayout class is a layout manager that lays out a container's components
in a rectangular gri

java.awt.GridLayout

A Rectangle specifies an area in a coordinate space that is enclosed by the 
Rectangle object's top-

java.awt.Rectangle

Breaks a string into tokens; new code should probably use String#split.>  
// Legacy code: 
StringTo

java.util.StringTokenizer

Defines a general exception a servlet can throw when it encounters difficulty.

javax.servlet.ServletException

General IO stream manipulation utilities. This class provides static utility
methods for input/outpu

org.apache.commons.io.IOUtils

org.hamcrest.core.IsNull

onRequestPermissionsResult

getSystemService

addToBackStack

/**
   * Perform the EM algorithm
   * 
   * @throws Exception if something goes wrong
   */

// throw away numbers to avoid problem of similar initial numbers

// cross validate to determine number of clusters?

/**
   * estimate the number of clusters by cross validation on the training data.
   * 
   * @throws Exception if something goes wrong
   */

// catch any problems - i.e. empty clusters occurring

// System.err.println("Restarting after CV training failure ("+num_clusters+" clusters");

// System.err.println("Restarting after CV testing failure ("+num_clusters+" clusters");

/**
   * iterates the E and M steps until the log likelihood of the data converges.
   * 
   * @param inst the training instances.
   * @param report be verbose.
   * @return the log likelihood of the data
   * @throws Exception if something goes wrong
   */

// decrease in log likelihood - revert to the model from the

// System.err.println("Restarting after training failure");

// System.err.println("Reducing the number of clusters");

How to use getSeedmethodin weka.clusterers.EM

Best Java code snippets using weka.clusterers.EM.getSeed (Showing top 6 results out of 315)

How to use
getSeed
method
in
weka.clusterers.EM