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Showing content from http://accord-framework.net/docs/html/T_Accord_MachineLearning_MeanShiftClusterCollection.htm below:

  Name Description Decide(TInput)

Computes class-label decisions for a given set of input vectors.

(Inherited from ClassifierBaseTInput, TClasses.) Decide(Double)

Computes a class-label decision for a given input.

(Overrides ClassifierBaseTInput, TClassesDecide(TInput).) Decide(TInput, TClasses)

Computes a class-label decision for a given input.

(Inherited from ClassifierBaseTInput, TClasses.) Decide(TInput, Boolean)

Computes class-label decisions for the given input.

(Inherited from MulticlassClassifierBaseTInput.) Decide(TInput, Double)

Computes class-label decisions for the given input.

(Inherited from MulticlassClassifierBaseTInput.) Decide(TInput, Int32)

Computes class-label decisions for the given input.

(Inherited from MulticlassClassifierBaseTInput.) Decide(TInput, Double)

Computes a class-label decision for a given input.

(Inherited from MulticlassClassifierBaseTInput.) Distortion

Calculates the average square distance from the data points to the nearest clusters' centroids.

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.) GetEnumerator

Returns an enumerator that iterates through the collection.

GetHashCode

Serves as the default hash function.

(Inherited from Object.) GetType

Gets the Type of the current instance.

(Inherited from Object.) MemberwiseClone

Creates a shallow copy of the current Object.

(Inherited from Object.) ToMultilabel

Views this instance as a multi-label classifier, giving access to more advanced methods, such as the prediction of one-hot vectors.

(Inherited from MulticlassClassifierBaseTInput.) ToString

Returns a string that represents the current object.

(Inherited from Object.) Transform(TInput)

Applies the transformation to an input, producing an associated output.

(Inherited from ClassifierBaseTInput, TClasses.) Transform(TInput)

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

(Inherited from TransformBaseTInput, TOutput.) Transform(TInput, TClasses)

Applies the transformation to an input, producing an associated output.

(Inherited from ClassifierBaseTInput, TClasses.) Transform(TInput, Boolean)

Applies the transformation to an input, producing an associated output.

(Inherited from MulticlassClassifierBaseTInput.) Transform(TInput, Double)

Applies the transformation to an input, producing an associated output.

(Inherited from MulticlassClassifierBaseTInput.) Transform(TInput, Int32)

Applies the transformation to an input, producing an associated output.

(Inherited from MulticlassClassifierBaseTInput.) Transform(TInput, Boolean)

Applies the transformation to an input, producing an associated output.

(Inherited from MulticlassClassifierBaseTInput.) Transform(TInput, Double)

Applies the transformation to an input, producing an associated output.

(Inherited from MulticlassClassifierBaseTInput.) Transform(TInput, Double)

Applies the transformation to an input, producing an associated output.

(Inherited from MulticlassClassifierBaseTInput.) Transform(TInput, Int32)

Applies the transformation to an input, producing an associated output.

(Inherited from MulticlassClassifierBaseTInput.) Transform(Double, Int32, Double, Double)

Transform data points into feature vectors containing the distance between each point and each of the clusters.

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