An Enhanced Regularized k-Means Type Clustering Algorithm With Adaptive Weights

An Enhanced Regularized k-Means Type Clustering Algorithm With Adaptive Weights

K-means clustering algorithm is one of the most popular technique for clustering in machine learning, however, in the existing k-means clustering algorithm, the ability of the different features and the importance of the different data objects are treated equally; the discriminative ability of the d...

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Bibliographic Details
Main Authors: Ziheng Wu, Zixiang Wu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
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machine learning
adaptive weights
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Online Access:https://ieeexplore.ieee.org/document/8986606/

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https://ieeexplore.ieee.org/document/8986606/

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