Overview
API Index
Namespaces:

API for clj-ml.clusterers

by Antonio Garrote <antoniogarrote@gmail.com>

Usage: 
(ns your-namespace
  (:require clj-ml.clusterers))

Overview


This namespace contains several functions for
building clusterers using different clustering algorithms. K-means, Cobweb and

Expectation maximization algorithms are currently supported. Some of these
algorithms support incremental building of the clustering without having the
full data set in main memory. Functions for evaluating the clusterer as well
as for clustering new instances are also supported




Public Variables and Functions



  

  

  
clusterer-build

  function

  
Usage: (clusterer-build clusterer dataset)


  
Applies a clustering algorithm to a set of data

  


  

  

  
clusterer-cluster

  function

  
Usage: (clusterer-cluster clusterer dataset)


  
Add a class to each instance according to the provided clusterer

  


  

  

  
clusterer-evaluate

  multimethod

  
No usage documentation available

  
Evaluates a trained clusterer using the provided dataset or cross-validation

  


  

  

  
clusterer-info

  multimethod

  
No usage documentation available

  
Retrieves the data from a cluster, these data are clustering-algorithm dependent

  


  

  

  
clusterer-update

  function

  
Usage: (clusterer-update clusterer instance-s)


  
If the clusterer is updateable it updates the cluster with the given instance or set of instances

  


  

  

  
make-clusterer

  multimethod

  
No usage documentation available

  
Creates a new clusterer for the given kind algorithm and options

  


  

  

  
make-clusterer-options

  multimethod

  
No usage documentation available

  
Creates ther right parameters for a clusterer

  






              

            

          

	

	
      

      
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