[Legacy Report] Technical Seminar

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Seminar by Prof. Don Wunsh,

BARTMAP vs. Iterative Two-Way Clustering, and Other Innovations

Abstract: The unsupervised nature of many clustering algorithms is one of their key advantages, even though many design decisions must still be made. In discussing some of these design decisions, we will briefly survey advantages and design issues in hierarchical clustering. Similarly, we will review some properties of Adaptive Resonance in engineering applications of clustering. This will lead us to an innovative application of an ART-inspired architecture (BARTMAP) to biclustering, an unsupervised version of heteroassociative learning. Comparison of this approach to other biclustering and traditional clustering approaches illustrates the advantages of biclustering in general and BARTMAP in particular. This advantage is further extended by the development of a new, hierarchical version of BARTMAP.

Donald Wunsch is the Mary K. Finley Missouri Distinguished Professor at Missouri University of Science & Technology (Missouri S&T). Earlier employers were: Texas Tech University, Boeing, Rockwell International, and International Laser Systems. His education includes: Executive MBA - Washington University in St. Louis, Ph.D., Electrical Engineering - University of Washington (Seattle), M.S., Applied Mathematics (same institution), B.S., Applied Mathematics - University of New Mexico. Key research contributions are: Clustering; Adaptive resonance and Reinforcement Learning architectures, hardware and applications; Neurofuzzy regression; Traveling Salesman Problem heuristics; Robotic Swarms; and Bioinformatics. He has produced 16 Ph.D. recipients in Computer Engineering, Electrical Engineering, and Computer Science; has attracted over $8 million in sponsored research; and has over 300 publications including nine books. His research has been cited over 4500 times. He is an IEEE Fellow and previous INNS President, INNS Fellow and Senior Fellow 07 - present, IEEE Electron Devices Society Distinguished Lecturer, and served as IJCNN General Chair, and on several Boards, including the St. Patrick's School Board, IEEE Neural Networks Council, International Neural Networks Society, and the University of Missouri Bioinformatics Consortium. He chairs the Missouri S&T Information Technology and Computing Committee, a Faculty Senate Standing Committee.

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