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Seiki Ubukata
PeerJ Author
100 Points

Contributions by role

Author 100

Contributions by subject area

Data Mining and Machine Learning
Data Science
Optimization Theory and Computation

Seiki Ubukata

PeerJ Author

Summary

Data Mining & Machine Learning Data Science Optimization Theory & Computation

PeerJ Contributions

  • Articles 1
November 18, 2019
A unified approach for cluster-wise and general noise rejection approaches for k-means clustering
Seiki Ubukata
https://doi.org/10.7717/peerj-cs.238