TY - CHAP A1 - Reda R. Gharieb ED1 - Harun Pirim Y1 - 2018-08-01 PY - 2018 T1 - Incorporating Local Data and KL Membership Divergence into Hard C-Means Clustering for Fuzzy and Noise-Robust Data Segmentation N2 - Clustering has emerged as one of the more fertile fields within data analytics, widely adopted by companies, research institutions, and educational entities as a tool to describe similar/different groups. The book Recent Applications in Data Clustering aims to provide an outlook of recent contributions to the vast clustering literature that offers useful insights within the context of modern applications for professionals, academics, and students. The book spans the domains of clustering in image analysis, lexical analysis of texts, replacement of missing values in data, temporal clustering in smart cities, comparison of artificial neural network variations, graph theoretical approaches, spectral clustering, multiview clustering, and model-based clustering in an R package. Applications of image, text, face recognition, speech (synthetic and simulated), and smart city datasets are presented. BT - Recent Applications in Data Clustering SP - Ch. 3 UR - https://doi.org/10.5772/intechopen.74514 DO - 10.5772/intechopen.74514 SN - 978-1-78923-527-2 PB - IntechOpen CY - Rijeka Y2 - 2020-10-23 ER -