Ensemble clustering methods combine multiple clustering results to yield a consensus partition that is often more robust, accurate and stable than any single clustering solution. These techniques ...

Data clustering is the process of placing data items into groups so that items within a group are similar and items in different groups are dissimilar. The most common technique for clustering numeric ...

Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...

Family has always been important to those working in population genetics. When Sohini Ramachandran was a postdoc, the issue ...

Special Issue No. 97: Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems (WINTER 2019), pp. 136-142 (7 pages) Published By: Coastal Education & Research Foundation, Inc. In ...