Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains.The book focuses on three primary aspects of data clustering:Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorizationDomains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validationIn this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas. They also explain how to glean detailed insight from the clustering process—including how to verify the quality of the underlying clusters—through supervision, human intervention, or the automated generation of alternative clusters.
Populaire auteurs
Cram101 Textbook Reviews (948) J.S. Bach (447) Wolfgang Amadeus Mozart (305) Collectif (268) Schrijf als eerste een recensie over dit item (259) Doug Gelbert (238) Princess of Patterns (211) Charles Dickens (209) R.B. Grimm (197) Carolyn Keene (187) Jules Verne (183) Philipp Winterberg (180) William Shakespeare (174) Youscribe (172) Lucas Nicolato (169) Edgar Allan Poe (166) Herman Melville (166) Anonymous (165) Gilad Soffer (164) Robert Louis Stevenson (159)Populaire gewichtsboeken
418 KB 425 KB 435 KB 459 KB 445 KB 439 KB 386 KB 413 KB 493 KB 432 KB 455 KB 471 KB 421 KB 451 KB 485 KB 472 KB 416 KB 369 KB 419 KB 427 KB