A novel incremental clustering technique with concept drift detection

Keyphrases

• Clustering Methods 100%
• Concept Drift Detection 100%
• Incremental Clustering 100%
• Clustering Pattern 50%
• Data Combination 50%
• Concept Drift 50%
• Incremental Clustering Algorithm 50%
• Clustering Results 50%
• Dynamic Data 25%
• Clustering Algorithm 25%
• Evaluation Criteria 25%
• Execution Time 25%
• Existing Techniques 25%
• Synthetic Data 25%
• Cluster Evaluation 25%
• Sum Square Error 25%
• Data Chunk 25%
• Static Clustering 25%

Computer Science

• Clustering Technique 100%
• Concept Drift Detection 100%
• Incremental Clustering 100%
• Clustering Algorithm 60%
• Clustering Result 40%
• Concept Drift 40%
• Execution Time 20%
• Synthetic Datasets 20%
• Evaluation Criterion 20%