IEEE - Institute of Electrical and Electronics Engineers, Inc. - The Informativeness of k-Means for Learning Mixture Models

Author(s): Zhaoqiang Liu ; Vincent Y. F. Tan
Sponsor(s): IEEE Information Theory Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1
ISSN (Electronic): 1557-9654
ISSN (Paper): 0018-9448
DOI: 10.1109/TIT.2019.2927560
Regular:

The learning of mixture models can be viewed as a clustering problem. Indeed, given data samples independently generated from a mixture of distributions, we often would like to find the correct... View More

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