Feature-reduction Fuzzy c-means Clustering for Basketball Players Positioning

Feature-reduction Fuzzy c-means Clustering for Basketball Players Positioning

One of the best-known clustering methods is the fuzzy c-means clustering algorithm, besides k-means and hierarchical clustering. Since FCM treats all data features as equally important, it may obtain a poor clustering result. To solve the problem, feature selection with feature weighting is needed....

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Bibliographic Details
Main Author: Yessica Nataliani
Format: Article
Language:English
Published: Politeknik Negeri Padang 2021-12-01
Series:JOIV: International Journal on Informatics Visualization
Subjects:
feature-reduction
clustering
fuzzy c-means
basketball
position
Online Access:https://joiv.org/index.php/joiv/article/view/651

Internet

https://joiv.org/index.php/joiv/article/view/651

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