- FRI Piškot Seminar: Bandyopadhyay – Multi-Objective Clustering
Announcements
The problem of clustering, clustering methods and algorithms like MOO (Multi-Objective Optimization) algorithm and Fuzzy C-means Algorithm will be presented at the next FRI Piškot Seminar on Monday 14 November at 10.15 a.m. in lecture room 4 by Prof. Sanghamitra Bandyopadhyay, Director of Indian Statistical Institute in Kolkata.
Multi-Objective clustering
Abstract:
The problem of clustering is essentially one of optimization. In past, metaheuristic methods like genetic algorithms have been used for clustering a data set. Yet, the clustering problem admits a number of criteria or cluster validity indices that have to be simultaneously optimized. Hence in recent times the problem has posed in a Multi-Objective Optimization (MOO) framework and popular metaheuristics for Multi-Objective Optimization have been applied. In this talk, we will first briefly discuss about the Fuzzy C-means Algorithm, followed by an introduction to the basic principles of MOO and a popular MOO algorithm. Subsequently it will be shown how the algorithm is useful 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. Finally, results will be demonstrated on clustering of some popular gene expression data sets.
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The seminar will be held in English.