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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| Materialtyp: | Online |
| Språk: | engelska |
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Ledizioni
2021
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| Länkar: | 15505 |
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| _version_ | 1869528471039901696 |
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| author | Jianyi Lin |
| author_browse | Jianyi Lin |
| author_facet | Jianyi Lin |
| author_sort | Jianyi Lin |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-47161 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Ledizioni |
| publisherStr | Ledizioni |
| record_format | ojs |
| spelling | doab-20.500.12854ir-471612023-12-20T18:40:37Z Exact algorithms for size constrained clustering Jianyi Lin QA1-939 Mathematical bic Book Industry Communication::P Mathematics & science 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. 2021-02-11T13:13:30Z 2021-02-11T13:13:30Z 2013-09-20 18:00:24 2013 book 15505 9788867050659 https://directory.doabooks.org/handle/20.500.12854/47161 eng Mathematical Sciences image/jpeg Attribution-NonCommercial-ShareAlike 4.0 International http://www.ledizioni.it/prodotto/jianyi-lin-exact-algorithms-for-size-constrained-clustering/ http://www.ledizioni.it/stag/wp-content/uploads/2014/02/Lin-book_1.pdf Ledizioni cb2a1db5-5754-4ab6-bb64-d635458e30c5 9788867050659 open access |
| spellingShingle | QA1-939 Mathematical bic Book Industry Communication::P Mathematics & science Jianyi Lin Exact algorithms for size constrained clustering |
| title | Exact algorithms for size constrained clustering |
| title_full | Exact algorithms for size constrained clustering |
| title_fullStr | Exact algorithms for size constrained clustering |
| title_full_unstemmed | Exact algorithms for size constrained clustering |
| title_short | Exact algorithms for size constrained clustering |
| title_sort | exact algorithms for size constrained clustering |
| topic | QA1-939 Mathematical bic Book Industry Communication::P Mathematics & science |
| topic_facet | QA1-939 Mathematical bic Book Industry Communication::P Mathematics & science |
| url | 15505 |
| work_keys_str_mv | AT jianyilin exactalgorithmsforsizeconstrainedclustering |