The Informativeness of k-Means for Learning Mixture Models

The Informativeness of k-Means for Learning Mixture Models

10.1109/ISIT.2018.8437304

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Bibliographic Details
Main Authors:	Liu, Zhaoqiang, Tan, Vincent YF
Other Authors:	ELECTRICAL AND COMPUTER ENGINEERING
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2020
Subjects:	Science & Technology Technology Computer Science, Information Systems Engineering, Electrical & Electronic Computer Science Engineering k-means algorithm Mixture models Fundamental limits Log-concave distribution Dimensionality reduction Principal component analysis Optimal clusterings ALGORITHMS
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/171683
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Institution:	National University of Singapore
Language:	English

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