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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Parameters

module E : Element

Signature

val k_means : 
  k:int ->
  init:init ->
  elements:E.t array ->
  termination:termination ->
  Stdlib.Random.State.t ->
  E.t array array

k_means performs the clustering using to the provided initialization method.

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

cost returns the sum over all classes of the sum of squared distances from the mean of the class to all elements of the class. This quantity will decrease monotonically as k increases, and the usual method to determine k is to select the one where this quantity's decrease has its first inflection.