package prbnmcn-clustering

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Parameters
Signature

prbnmcn-clustering
- Clustering
  - Agglomerative
    
    Element_set
    
    Make
    
    E
    
    S
  - Helpers
  - Intf
    
    Metric
  - K_means
    
    Element
    
    Make
    
    E
  - K_medoids
    
    Make
    
    E
  - MultiStart

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Class
Class type

Parameters

module E : Intf.Metric

Signature

val k_medoids : 
  precompute:bool ->
  elements:E.t array ->
  k:int ->
  init:init ->
  algorithm:algorithm ->
  termination:termination ->
  Random.State.t ->
  E.t array array

k_means performs the clustering using the provided initialization method.

val cost : classes:E.t array array -> float

cost returns the sum over all classes of the sum of distances from the medoid of the class to all elements of the class.