K-means

CENTROID2ID

centroid2id(Vector of Number c, Matrix vc) -> Integer i
STABLE

Returns an integer id to distinguish a cluster centroid

c : centroid to identify position of vc : vector of centroids containing c

get_kmeans_string(Charstring name) -> Charstring
STABLE

Generate functions for a kmeans instance named name This will create

kmeans functions prefixed with kmeans_<name> Look at the topic keans after calling generate_kemans.

get_nearest_centroid(Vector of Number x, Matrix vc)->(Number, Vector of Number)
STABLE

Gets nearest centroid among vc for the given datapoint x,

returns distance and centroid vector

get_nearest_centroid_id(Vector of Number x, Matrix vc) -> Number
STABLE

Gets nearest centroid among vc for the given datapoint p,

returns distance and centroid vector

kmeans:generate(Charstring name) -> Object
STABLE

Generate functions for a kmeans instance named name This will create

kmeans functions prefixed with kmeans_<name> Look at the topic keans after calling generate_kemans.

kmeans:save_model(Charstring instance, Charstring model) -> Boolean
STABLE

No description.

kmeans:save_model(Charstring instance, Charstring model, Charstring file) -> Boolean
STABLE

No description.