| Type of Material: | Thesis |
| Title: | Optimizer augmented clustering: a study over iterative k-means |
| Researcher: | Subhajit Ghosh |
| Department: | Department of Computer Science and Engineering |
| Publisher: | Tezpur University |
| Place: | Tezpur |
| Year: | 2011 |
| Language: | Arabic |
| Subject: | Pearson distance | Ga | Clustering | Optimization | Sa | Pso | De | Fitness function | Silhouette coefficient | Davies bouldin index |
| Dissertation/Thesis Note: | PhD |
| Fulltext: | Shodhganga |
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| 001 | 262433 | |
| 003 | IN-AhILN | |
| 005 | 2019-05-29 01:00:43 | |
| 008 | __ | 150526t2011||||ii#||||g|m||||||||||ara|| |
| 035 | __ | |a(IN-AhILN)th_262433 |
| 040 | __ | |aTEZU_784025|dIN-AhILN |
| 041 | __ | |aara |
| 100 | __ | |aSubhajit Ghosh|eResearcher |
| 110 | __ | |aDepartment of Computer Science and Engineering|bTezpur University|dTezpur |
| 245 | __ | |aOptimizer augmented clustering: a study over iterative k-means |
| 260 | __ | |aTezpur|bTezpur University|c2011 |
| 502 | __ | |bPhD |
| 518 | __ | |oDate of Notification|d2011 |
| 520 | __ | |aClustering often forms the first-stage analysis before applying other data mining techniques. By performing a cluster analysis, the user can ideally gain an overview on the major characteristics of a data set without any previous knowledge. However, in^ |
| 653 | __ | |aPearson distance |
| 653 | __ | |aGa |
| 653 | __ | |aClustering |
| 653 | __ | |aOptimization |
| 653 | __ | |aSa |
| 653 | __ | |aPso |
| 653 | __ | |aDe |
| 653 | __ | |aFitness function |
| 653 | __ | |aSilhouette coefficient |
| 653 | __ | |aDavies bouldin index |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/9016|yShodhganga |
| 905 | __ | |anotification |
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