An entropy weighting k-means algorithm for subspace clustering of high-dimensional sparse data

Keyphrases

• Entropy Weight 100%
• High-dimensional Sparse Data 100%
• K-means 100%
• Subspace Clustering 100%
• Clustering Process 60%
• High-dimensional Data 40%
• Weight Value 20%
• Entire Space 20%
• In Clustering 20%
• Weighted Entropy 20%
• Subspace Clustering Algorithm 20%
• Clustering Results 20%
• Data Sparsity Problem 20%
• Text Clustering 20%

Computer Science

• clustering process 100%
• Mean Algorithm 100%
• k-means Clustering 100%
• High Dimensional Data 66%
• Large Data Set 33%
• Clustering Algorithm 33%
• Sparsity 33%
• Dimensional Object 33%
• Objective Function 33%
• Text Clustering 33%
• Clustering Result 33%
• High Clustering 33%