Harun Pirim

King Fahd University of Petroleum and MineralsSaudi Arabia

Harun Pirim received his Ph.D. degree in Industrial and Systems Engineering from Mississippi State University in May 2011. He holds Operations Research MA and Industrial Engineering BS degrees from Dokuz Eylul University, Turkey. He recently developed a minimum spanning tree based algorithm and a mixed integer programming model for clustering applications. His research interests include mathematical programming and heuristic applications in biology, sociology, and supply chain fields focusing mainly on graph mining. He has several papers published in reputed journals, conference proceedings, book chapters and a brief Springer book on supply chain optimization. He served as a reviewer for many journals. He is currently working at King Fahd University of Petroleum and Minerals (KFUPM) Systems Engineering Department as an assistant professor.

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Latest work with IntechOpen by Harun Pirim

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.

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