Successive Binary Partition K-means Method for Clustering with Less Cluster Size Bias-Reference-Cited by-同舟云学术

Successive Binary Partition K-means Method for Clustering with Less Cluster Size Bias

Published:2022-07-20 Issue: Volume: Page:
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Container-title:2022 7th International Conference on Signal and Image Processing (ICSIP)
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Author:

Ito Akinori¹

Affiliation:

1. Tohoku University,Graduate School of Engineering,Sendai,Japan

Publisher

IEEE

Link

Reference19 articles.

2. k-means++: The advantages of careful seeding;vassilvitskii;Proceedings of the Eighth Annual ACM- SIAM Symposium on Discrete Algorithms,2006

4. A comparison of document clustering techniques;steinbach;In Proc World Text Mining Conference,2000

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