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A new non-iterative approach for clustering

Published:1994-02 Issue:2 Volume:15 Page:125-133
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Yin Peng-Yeng,Chen Ling-Hwei

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference15 articles.

1. Cluster Analysis for Applications;Anderberg,1973

2. Numerical comparison of the RFCM and AP algorithms for clustering relational data;Bezdek;Pattern Recognition,1991

3. c-Means clustering with the l1 amd l∞ norms;Bobrowski;IEEE Trans. Syst. Man Cybernet.,1991

4. Characterization and detection of noise in clustering;Dave;Pattern Recognition Lett.,1991

5. Pattern Recognition. A Statistical Approach;Devijver,1982

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1. EigenSample: A non-iterative technique for adding samples to small datasets;Applied Soft Computing;2018-09

2. Acoustic-Based Cutting Pattern Recognition for Shearer through Fuzzy C-Means and a Hybrid Optimization Algorithm;Applied Sciences;2016-10-12

3. Combining multiple classifications of chemical structures using consensus clustering;Bioorganic & Medicinal Chemistry;2012-09

4. APPLICATION OF COMPETITIVE HOPFIELD NEURAL NETWORK TO BRAIN-COMPUTER INTERFACE SYSTEMS;International Journal of Neural Systems;2012-02

5. Fuzzy Hopfield neural network clustering for single-trial motor imagery EEG classification;Expert Systems with Applications;2012-01

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