GaussianCluster Methods

Gets the deviance of the points in relation to the cluster.

Computes the distortion of the cluster, measured as the average distance between the cluster points and its centroid.

Determines whether the specified object is equal to the current object.

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Serves as the default hash function.

Gets the Type of the current instance.

Gets the probability density function of the underlying Gaussian probability distribution evaluated in point x.

Gets the probability density function of the underlying Gaussian probability distribution evaluated in point x.

Creates a shallow copy of the current Object.

Gets a copy of the normal distribution associated with this cluster.

Returns a string that represents the current object.

Checks whether an object implements a method with the given name.

Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.

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.

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.