Description
Clustering problems are solved using various techniques such as SOM and K-Means. The generic problem involves multi-attribute sample points, with variable weights. We use Genetic Algorithms to build a scalable, generic & easy to use solution.
Update Notifications
User Reviews
Be the first to post a review of Discrete Data Categorization & Analysis!