|   | BalancedKMeans Methods | 
The BalancedKMeans type exposes the following members.
 Methods
Methods| Name | Description | |
|---|---|---|
|  | Compute(Double) | Obsolete. 
              Divides the input data into K clusters. 
            (Inherited from KMeans.) | 
|  | Compute(Double, Double) | Obsolete. 
              Divides the input data into K clusters. 
            (Inherited from KMeans.) | 
|  | Compute(Double, Double) | Obsolete. 
              Divides the input data into K clusters. 
            (Inherited from KMeans.) | 
|  | ComputeInformation(Double) | 
            Computes the information about each cluster (covariance, proportions and error).
            (Inherited from KMeans.) | 
|  | ComputeInformation(Double, Int32) | 
            Computes the information about each cluster (covariance, proportions and error).
            (Inherited from KMeans.) | 
|  | converged | 
              Determines if the algorithm has converged by comparing the
              centroids between two consecutive iterations.
            (Inherited from KMeans.) | 
|  | Equals | Determines whether the specified object is equal to the current object.(Inherited from Object.) | 
|  | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.(Inherited from Object.) | 
|  | GetHashCode | Serves as the default hash function. (Inherited from Object.) | 
|  | GetType | Gets the Type of the current instance.(Inherited from Object.) | 
|  | Learn | 
              Learns a model that can map the given inputs to the desired outputs. Note:
              the model created by this function will not be able to produce balanced
              clusterings. To retrieve the balanced labels, check the Labels 
              property of this class after calling this function.
            (Overrides KMeansLearn(Double, Double).) | 
|  | MemberwiseClone | Creates a shallow copy of the current Object.(Inherited from Object.) | 
|  | Randomize | 
              Randomizes the clusters inside a dataset.
            (Inherited from KMeans.) | 
|  | ToString | Returns a string that represents the current object.(Inherited from Object.) | 
 Extension Methods
Extension Methods| Name | Description | |
|---|---|---|
|  | HasMethod | 
              Checks whether an object implements a method with the given name.
            (Defined by ExtensionMethods.) | 
|  | IsEqual | 
                Compares two objects for equality, performing an elementwise 
                comparison if the elements are vectors or matrices.
            (Defined by Matrix.) | 
|  | To(Type) | Overloaded. 
              Converts an object into another type, irrespective of whether
              the conversion can be done at compile time or not. This can be
              used to convert generic types to numeric types during runtime.
            (Defined by ExtensionMethods.) | 
|  | ToT | Overloaded. 
              Converts an object into another type, irrespective of whether
              the conversion can be done at compile time or not. This can be
              used to convert generic types to numeric types during runtime.
            (Defined by ExtensionMethods.) | 
 See Also
See Also