MATLAB File Help: prtClusterGmm
  prtClusterGmm   Gaussian mixture model clustering object
     CLUSTER = prtClusterGmm returns a GMM clustering object.
     CLUSTER = prtClusterGmm(PROPERTY1, VALUE1, ...) constructs a
     prtClassFld object CLASSIFIER with properties as specified by
     PROPERTY/VALUE pairs.
     A prtClusterGmm object inherits all properties from the abstract
     class prtCluster. In addition is has the following properties:
     nClusters          - Number of cluster centers to learn 
     A prtClusterGmm clustering algorithm trains a prtRvGmm random
     variable on training data, and at run time, the clustering
     algorithm outputs the posterior probability of any particular
     point being drawn from one of the nClusters Guassian components.
     A prtClusterGmm object inherits the TRAIN, RUN, CROSSVALIDATE and
     KFOLDS methods from prtAction. It also inherits the PLOT method from
    ds = prtDataGenUnimodal         % Load a data set
    clusterAlgo = prtClusterGmm;    % Create a clustering object
    clusterAlgo.nClusters = 2;      % Set the number of clusters
    % Set the internal decision rule to be MAP. Not required for
    % clustering, but necessary to plot the results.
    clusterAlgo.internalDecider = prtDecisionMap;
    clusterAlgo = clusterAlgo.train(ds);  % Train
    plot(clusterAlgo);                    % Plot the trained object
See Also
Class Details
Superclasses prtCluster
Sealed false
Construct on load false
Constructor Summary
prtClusterGmm Gaussian mixture model clustering object 
Property Summary
clusterCenters The cluster centers 
dataSet The training prtDataSet, only stored if verboseStorage is true.  
dataSetSummary Structure that summarizes prtDataSet. 
gmmRv The Gaussian mixture model found during training 
includesDecision Flag indicating if result includes a decision 
internalDecider Optional prtDecider object for making decisions 
isCrossValidateValid True 
isSupervised False 
isTrained Indicates if prtAction object has been trained. 
nClusters The number of clusters 
name GMM Clustering 
nameAbbreviation GMMCluster 
userData User specified data 
verboseStorage Specifies whether or not to store the training prtDataset. 
Method Summary
  crossValidate Cross validate prtAction using prtDataSet and cross validation keys. 
  get get the object properties 
  kfolds Perform K-folds cross-validation of prtAction 
  optimize Optimize action parameter by exhaustive function maximization. 
  plot Plot the output of the prtCluster object 
  run Run a prtAction object on a prtDataSet object. 
  set set the object properties 
  train Train a prtAction object using training a prtDataSet object.