Exact algorithms for size constrained clustering / / Jianyi Lin

• Autore: Lin Jianyi
• Pubblicazione: Ledizioni, 2013; Milan : , : Libreria Ledi Srl, , 2013
• Soggetto topico: Algorithms; Mathematics
• Soggetto non controllato: Mathematical
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references.
• Sommario/riassunto: Clustering or cluster analysis [5] is a method in unsupervised learning and one of the most used techniques in statistical data analysis. Clustering has a wide range of applications in many areas like pattern recognition, medical diagnostics, datamining, biology, market research and image analysis among others. A cluster is a set of data points that in some sense are similar to each other, and clustering is a process of partitioning a data set into disjoint clusters. In distance clustering, the similarity among data points is obtained by means of a distance function.
• Titolo autorizzato: Exact algorithms for size constrained clustering
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910140310003321
• Lo trovi qui: Univ. Federico II