Recent Advances In Mathematical Programming For Classification And Cluster Analysis

This chapter is focused on recent advances in mathematical programming methodologies in data mining research, which is a rapidly emerging interdisciplinary research area. The main focus of this review chapter lies on classification (supervised learning) and clustering (unsupervised learning), which are among the most studied data mining tasks. We give a thorough discussion on the mathematical modeling aspect of classification and clustering problems.https://www.google.co.in/search?q=+Recent+advances+in+mathematical+programming+for+classification+and+cluster+analysis&ie=utf-8&oe=utf-8&client=firefox-b-ab&gfe_rd=cr&dcr=0&ei=UFHsWYfoI7Px8AeWuqgY