A hybrid clustering algorithm based on missing attribute interval estimation for incomplete data-Reference-Cited by-同舟云学术

A hybrid clustering algorithm based on missing attribute interval estimation for incomplete data

Published:2014-06-01 Issue:2 Volume:18 Page:377-384
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Zhang Li,Bing Zhaohong,Zhang Liyong

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s10044-014-0376-8.pdf

Reference31 articles.

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4. Taherdangkoo M, Bagheri MH (2013) A powerful hybrid clustering method based on modified stem cells and Fuzzy C-means algorithms. Eng Appl Artif Intell 26(5–6):1493–1502

5. Abas AR (2010) Using general regression with local tuning for learning mixture models from incomplete data sets. Egypt Inform J 11(2):49–57

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