Knowledge-based Clustering, Indo-U.S. Collaborative Research. Award In U.S. and Indian Currencies

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9321584 Jain Description: This project is to support collaboration by Dr. Anil K. Jain of the Department of Computer Science at Michigan State University, and Dr. M. Narasimha Murty of the Department of Computer Science and Automation at the Indian Institute of Science in Bangalore, India. The two scientists will work jointly in the area of knowledge-based clustering. The main focus of the research will be the following topics: incorporate domain knowledge to obtain more meaningful clusters; investigate grouping of labelled objects for efficient representation and rule generation; and develop tools to assist a potential user in selecting an appropriate clustering algorithm for a given problem. Scope: Cluster analysis attempts to assess the interaction among patterns by organizing the patterns into groups or clusters such that patterns within a cluster are more similar to each other than patterns belonging to different clusters. The results can be used to initiate hypotheses about the data. The method is popular in pattern recognition, computer vision, machine learning, biology, psychiatry, psychology, marketing, and information retrieval. The collaboration by these two highly competent scientists should advance the techniques used and lead to better utilization of the method. ***