Initial clustering center optimization and feature auto-weighting for k-Means clustering algorithm
Author:
Affiliation:
1. Southwest University of Science and Technology,School of Computer Science and Engineering,Mianyang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9942815/9943052/09943075.pdf?arnumber=9943075
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1. Rough k-means Algorithm with Self-adaptive Weights Measurement Based on Space Distance;wang;Computer Science,2018
2. Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management
3. An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data
4. Automated variable weighting in k-means type clustering
5. Unsupervised Machine Learning Applied to Seismic Interpretation: Towards an Unsupervised Automated Interpretation Tool
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