A new clustering algorithm with multiple runs of iterative procedures

Computer Science

• Complexity 100%
• Starting Position 100%
• Pattern Recognition 50%
• Local Minimum 50%
• Pattern Classification 50%
• K-Means Clustering 50%
• Clustering Algorithm 50%
• Configuration Change 50%
• Mean Clustering Algorithm 50%
• Clustering Result 50%
• Function Surface 50%
• Scene Analysis 50%

Mathematics

• Clustering Algorithm 50%
• Local Minimum 50%
• Cost Function 50%
• Algorithm 50%
• Pattern Recognition 50%

Economics, Econometrics and Finance

• Cost Function 50%
• Savings 50%