AlgorithmFactory

The AlgorithmFactory returns a clustering algorithm instace based on either

BinaryTree

A specialization of the MultiWayTree

Collection

A very loose data structure. Simply a bunch of unordered data nodes.

DA

HappyDoc Generated Documentation: compClust.mlx.DA

Graph

A graph data structure.

ML_Algorithm

Provides a base from which all other IML_Algorithm classes can be derived.

ModelFactory

Provides a factory for vending instances of Model objects from different

MultiWayTree

A standard n-way tree inherited from a DirectedGraph

Node

A generic Node class for implementing graphs, trees, etc.

PQueue

Supervised

Supervised

TestAlgorithmFactory

Test suite for the AlgorithmFactory module.

TestBinaryTree

Test suite for the BinaryTree class

TestBrutal

A Brutal testing of the interaction of various combinations of views,

TestGraph

Test suite for the Graph class

TestMultiWayTree

Test suite for the MultiWayTree class

UGraph

XClustTree

An extension of the BinaryTree class for use by XClust.

mlx

datasets

HappyDoc Generated Documentation: compClust.mlx.datasets

interfaces

Contains all the interface classes for all schema objects.

labelings

HappyDoc Generated Documentation: compClust.mlx.labelings

models

HappyDoc Generated Documentation: compClust.mlx.models

views

HappyDoc Generated Documentation: compClust.mlx.views

wrapper

Any time a new ML_Algorithm is added, the AlgorithmFactory module in mls.schema needs to be updated