Abstract: Segmentation or change point detection is a very common topic in time series analysis, anomaly detection and pattern recognition. In our previous paper the time series generated by sensors with 3D accelerometers were analysed. It was noticed that such series consist of segments of independent and correlated observations. Hence the appropriate methods for change point detection for both data types must be implemented simultaneously.This paper provides an auxiliary comparison analysis which we intend to implement later for the above mentioned acc...
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Topics: 
Data mining
Artificial intelligence
Algorithm