Implementation of Hybrid Clustering Algorithm with Enhanced K-Means and Hierarchal Clustering

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
The authors are propose a hybrid clustering method; the methodology combines the strengths of both partitioning and agglomerative clustering methods. Clustering algorithms that build meaningful hierarchies out of large document collections are ideal tools for their interactive visualization and exploration as they provide data-views that are consistent, predictable, and at different levels of granularity. This paper focuses on text clustering algorithms that build such hierarchical solutions and presents a comprehensive study of partitional and agglomerative algorithms that use different criterion functions and merging schemes.

Find By Topic