A clustering algorithm based on local accumulative knowledge

Keyphrases

• Clustering Results 100%
• Clustering Algorithm 100%
• Initial Sensitivity 66%
• Heuristic Clustering Algorithm 66%
• Clustering Problem 66%
• Academy 33%
• Copyright 33%
• K-means 33%
• Quality Measures 33%
• Common Information 33%
• Optimization Model 33%
• Single Linkage 33%
• Cluster Quality 33%
• Rough Clustering 33%
• Inherent Structure 33%
• Linkage Algorithm 33%
• Data Objects 33%
• Unsupervised Learning Techniques 33%

Computer Science

• Clustering Algorithm 100%
• Clustering Result 75%
• Experimental Result 25%
• Learning Technique 25%
• Unsupervised Learning 25%
• Clustering Quality Measure 25%
• Named Structure 25%
• Combining Optimization 25%
• Information Common 25%