package prbnmcn-clustering

You can search for identifiers within the package.

in-package search v0.2.0

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

Legend:
Library
Module
Module type
Parameter
Class
Class type

val multi_start : f:(unit -> float * 'a) -> nstarts:int -> float * 'a

multi_start performs nstarts independent calls to the given function f, which must return some outcome together with its cost. multi_start then returns the result that has minimal cost. multi_start_parallel does the same by forking several processes (in the hope of getting some parallelism). Note: for the parallel version, the random state is reinitizalized using Random.self_init per process.