number of features
creates a list of features (Doubles) of length N given a T
creates a T from list of arguments of length N
number of features
assignmentsAndDistances
assignmentsAndDistances
Returns: N x 1 matrix: indexes of centroids closest to xi N x 1 matrix: distances to those centroids
centroidIndexAndDistanceClosestTo
centroidIndexAndDistanceClosestTo
centroids
centroids
M x N scaled feature matrix
number of centroids
clusterLA
clusterLA
(normalized feature matrix)
creates a T from list of arguments of length N
creates a list of features (Doubles) of length N given a T
KMeansClassifier[T]
type of the objects being classified
number of features
creates a list of features (Doubles) of length N given a T
creates a T from list of arguments of length N