The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...
Pu Wang, Carlotta Domeniconi, Kathryn Blackmond La...
Text mining appliesthe sameanalytical functions of datamining to the domainof textual information, relying on sophisticatedtext analysis techniques that distill information from f...
A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledgeinlargerelationaldatabases and data warehouses. The system implements a wide sp...
Jiawei Han, Jenny Chiang, Sonny Han Seng Chee, Jia...
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...