Exact algorithms for size constrained clustering
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 a...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Milan :
Ledizioni
2013
2013 |
| Colección: | Mathematical Sciences
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009427373906719 |
| Sumario: | 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. |
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| Notas: | Bibliographic Level Mode of Issuance: Monograph |
| Descripción Física: | Also available in print form |
| Bibliografía: | Includes bibliographical references. |
