01906nam 2200457 450 99621438930331620230621135405.0(CKB)2670000000497803(SSID)ssj0001326128(PQKBManifestationID)12495062(PQKBTitleCode)TC0001326128(PQKBWorkID)11518835(PQKB)10617971(oapen)https://directory.doabooks.org/handle/20.500.12854/47161(EXLCZ)99267000000049780320160829d2013 uy |engurmn|---annantxtccrExact algorithms for size constrained clustering /Jianyi Lin Ledizioni2013Milan :Libreria Ledi Srl,2013Mathematical SciencesBibliographic Level Mode of Issuance: Monograph88-6705-065-6 Includes bibliographical references.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.AlgorithmsMathematicsMathematicalAlgorithms.Mathematics.Lin Jianyi802119PQKBUkMaJRUBOOK996214389303316Exact algorithms for size constrained clustering1803382UNISA