Exact algorithms for size constrained clustering
Item
Title (Dublin Core)
Exact algorithms for size constrained clustering
Creator (Dublin Core)
Jianyi Lin
Date (Dublin Core)
2013
Publisher (Dublin Core)
Ledizioni - LediPublishing
Description (Dublin Core)
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.
Subject (Dublin Core)
Mathematics
Language (Dublin Core)
English
isbn (Bibliographic Ontology)
9788867050659
