MATLAB File Help: prtCluster
  prtCluster   Base class for prt clustering objects
    prtCluster is an abstract class and cannot be instantiated. 
    All prtCluster objects inherit all properities and methods from the
    prtAction object. 
    prtCluster objects have the following methods:
    plot          - Plot the output cluster of a trained clustering
                    algorithm. Only valid when the clutering algorithm
                    has been trained with a data set of 3 dimensions or
    A prtCluster object inherits the TRAIN, RUN, CROSSVALIDATE and KFOLDS
    functions from the prtAction object.
See also
Class Details
Superclasses prtAction
Sealed false
Construct on load false
Constructor Summary
prtCluster As an action subclass we must set the properties to reflect 
Property Summary
dataSet The training prtDataSet, only stored if verboseStorage is true.  
dataSetSummary Structure that summarizes prtDataSet. 
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 Descriptive name of prtAction object. 
nameAbbreviation Shortened name for the prtAction object. 
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.