Data Clustering

By Charu C. Aggarwal, Chandan K. Reddy

Subjects: Exploration de données (Informatique), Machine theory, File organization (computer science), Classification automatique (Statistique), File organization (Computer science), Cluster analysis, Regroupement des documents (Informatique), Théorie des automates, Data mining, Fichiers (Informatique), Document clustering, Organisation, Data Mining

Description: "Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods such as probabilistic, density-based, grid-based, and spectral clustering etc; different problem domains and scenarios such as multimedia, text, biological, categorical, network, and uncertain data as well as data streams; and different detailed insights from the clustering process because of the subjectivity of the clustering process, and the many different ways in which the same data set can be clustered"--