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[null,"1.","Record Nr.",null,"UNINA9910140310003321"]
[null,null,"Autore",null,"Lin Jianyi"]
[null,null,"Titolo",null,"Exact algorithms for size constrained clustering / / Jianyi Lin"]
[null,null,"Pubbl/distr/stampa",null,"Ledizioni, 2013"]
[{"$nulls":4},"Milan : , : Libreria Ledi Srl, , 2013"]
[null,null,"Collana",null,"Mathematical Sciences"]
[null,null,"Soggetti",null,"Algorithms"]
[{"$nulls":4},"Mathematics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,null,"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."]