All Classes and Interfaces

Class
Description
Abstract class.
Callable class for clustering input vectors (fingerprints).
The class implements an Art-2A algorithm in double machine precision for fast, stable unsupervised clustering for open categorical problems.
Result class for the double clustering.
The class implements an Art-2A algorithm in single machine precision for fast, stable unsupervised clustering for open categorical problems.
Result class for float clustering.
An exception thrown when convergence fails.
File utility.
Interface for implementing float and double Art-2a clustering.
Interface for implementing clustering result classes.