A shape-based cutting and clustering algorithm for multiple change-point detection

Keyphrases

• Shape-based 100%
• Clustering Algorithm 100%
• Multiple Change-point Detection 100%
• Cutting Algorithm 100%
• Clustering Methods 33%
• Operational Problems 33%
• Detection Algorithm 33%
• Real-time Data Analysis 33%
• Full Use 33%
• Computational Speed 33%
• Computational Effectiveness 33%
• Cutting Process 33%
• Local Statistics 33%
• Multiple Change-points 33%
• Data-driven Threshold 33%
• Change Point Detection 33%
• Electrical Distribution Network 33%
• Peak Recognition 33%
• Adaptive Bandwidth 33%
• Without Prior Knowledge 33%
• Threshold-adaptive 33%
• Geometric Information 33%

Engineering

• Clustering Algorithm 100%
• Illustrates 50%
• Simulation Result 50%
• Detection Algorithm 50%
• Renewables 50%
• Real Data 50%
• Operational Problem 50%
• Electrical Distribution 50%
• Distribution Network 50%

Computer Science

• Clustering Algorithm 100%
• Point Detection 100%
• Detection Algorithm 50%
• Geometric Information 50%
• Distribution Network 50%
• Local Statistic 50%