The two most talked about classes of algorithms are classification and clustering. Classification is assigning things a label. Clustering is grouping things that look like they go together.

The supervised counterpart for clustering is called classification. With classification you know the groups that a large set of entities belong to, and you want to train an algorithm to classify ...

Scientists may use methods that fall into only one classification, or they might employ hybrid algorithms that use techniques from multiple categories. Categories of clustering algorithms ...

This course will cover the algorithms and database techniques required to ... Topics covered in data mining include association discovery, clustering, classification, and anomaly detection. Special ...