About the Talk
Clustering, a long-standing problem in unsupervised learning, produced several methods which were empirically shown to be doing well on some datasets. There is no unified theory underlying clustering. Kleinberg (2003) showed that there is no clustering algorithm that can satisfy three simple axioms, like scale invariance, richness and consistency. This impossibility result prompted others to look at other axiomatic frameworks which resulted in potentially possible solutions. This talk briefs about these efforts.
About the Speaker
Professor Viswanath did his Masters at IIT Madras, PhD at IISc Bangalore. His PhD thesis was awarded the best thesis medal in the Electrical Sciences Division of IISc Bangalore in 2006. He worked at IIT Guwahati in the past. Currently he is working at IIIT Sri City. HIs areas of interest include Machine Learning, Data Mining, and Quantum Computing & Intelligence. He guided 8 PhD students, 2 MS students, 24 M.Tech students and several B.Tech students. He is a senior member of IEEE. His articles were published at top rated journals like Pattern Recognition, Pattern Recognition Letters, Neurocomputing, Neural Networks, Remote Sensing Letters, and so on. Currently he is working as a Professor at IIIT Sri City.
