K-means Text Dynamic Clustering Algorithm Based on KL Divergence
The random selection of the initial cluster center and distance measure function selection in the classical k-means algorithm have a great influence on the time and final precision of the clustering. Based on the above two problems, this paper proposes the classical VSM (vector space model) to repre...
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Published in | 2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) pp. 659 - 663 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2018
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Subjects | |
Online Access | Get full text |
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