Séminaire Donnees et APprentissage ArtificielRSS

Optimizing Multiple Objectives for Clustering

15/10/2019
Intervenant(s) : Sanghamitra Bandyopadhyay (Indian Statistical Institute)
Clustering is an unsupervised exploratory data analysis tool which groups the data on the basis of some similarity/dissimilarity metric such that a predefined criterion is optimized. The problem of clustering is therefore essentially one of optimization. The use of metaheuristics like genetic algorithms has been made successfully in the past for clustering a data set. It is to be noted that the clustering problem admits a number of criteria or cluster validity indices that have to be simultaneously optimized for obtaining improved results. Hence in recent times the problem has been posed in a multiobjective optimization (MOO) framework and popular metaheuristics for multiobjective optimization have been applied. In this talk, we will first briefly discuss about the fuzzy c-means algorithm and the basic principles of MOO. Subsequently it will be shown how a popular multiobjective optimization algorithm may be used for solving the clustering problem. Since such algorithms provide a number of solutions, a way of combining the multiple clustering solutions so obtained into a single one using supervised learning will be explained. The talk will conclude by demonstrating an application of the multiobjective clustering technique on gene expression data sets.
**Bio**
Sanghamitra Bandyopadhyay joined the Machine Intelligence Unit of the Indian Statistical Institute as a faculty member in 1999, after completing her PhD from the same Institute.. She is currently the Director of the Institute. Her areas of research interest include computational biology and bioinformatics, soft and evolutionary computation, pattern recognition and data mining. In these areas she has published more than 300 research articles in various journal, conferences and edited volumes. She has published six authored and edited books from publishers like Springer, World Scientific and Wiley. Sanghamitra has worked in various Universities and Institutes world-wide including in USA, Australia, Germany, France, Italy, China, Slovenia and Mexico, and delivered invited lectures in many more countries. She has received several awards and fellowships including the Bhatnagar Prize, Infosys award, TWAS Prize, DBT National Women Bioscientist Award (Young), INAE Silver Jubilee Prize, Young scientist/engineer medals of INSA, INAE and Science Congress, JC Bose Fellowship, Swarnajayanti Fellowship and Humboldt Fellowship. She is a Senior Associate of ICTP and Fellow of INSA, INAE, NASI and IEEE. She is currently a member of the Science, Technology and Innovation Advisory Council of the Prime Minister of India.
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