clustering variation

We have hosted the application clustering variation in order to run this application in our online workstations with Wine or directly.

Quick description about clustering variation:

Clustering Variation looks for a good subset of attributes in order to improve the classification accuracy of supervised learning techniques in classification problems with a huge number of attributes involved. It first creates a ranking of attributes based on the Variation value, then divide into two groups, last using Verification method to select the best group.

Features:

• fast
• multiable class
• All kinds of attribute

Audience: Science/Research.

Programming Language: Java.

.