Partitional clustering: A nonsmooth optimization approach
Adil Bagirov - Professor, Federation University Australia
Thu, 22-Sep-2021 / 13:30 / Link:
In this talk, we will start by discussing different types of clustering problems. Then we will consider various optimization models for partitional clustering problems. Models based on the nonsmooth optimization approaches will be discussed in detail. We will describe heuristic algorithms for clustering, clustering algorithms based on metaheuristics and nonsmooth optimization techniques. Finally, we will discuss various cluster validity indices on compactness and separability of clusters.
Professor Adil Bagirov received a master degree in Applied Mathematics from Baku State University, Azerbaijan in 1983, and the Candidate of Sciences degree in Mathematical Cybernetics from the Institute of Cybernetics of Azerbaijan National Academy of Sciences in 1989 and PhD degree in Optimization from Federation University Australia (formerly the University of Ballarat), Ballarat, Australia in 2002. Worked at the Space Research Institute (Baku, Azerbaijan), Baku State University (Baku, Azerbaijan), Joint Institute for Nuclear Research (Moscow, Russia). Dr. Bagirov is with Federation University Australia (Ballarat, Australia) since 1999 and he currently holds the full Professor position at this university. He has won five Australian Research Council Discovery and Linkage grants to conduct research in nonsmooth and global optimization and their applications. He was awarded Australian Research Council Postdoctoral Fellow and Australian Research Council Research Fellow as well as EUROPT Fellow 2009. A. Bagirov's main research interests are in the area of nonsmooth and global optimization and their applications in data mining, regression analysis and water management. Dr. Bagirov has published two books on nonsmooth optimization and its applications, one edited book and more than 170 journal papers, book chapters and papers in conference proceedings.