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Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms
[article]
2016
arXiv
pre-print
The existence of large volumes of time series data in many applications has motivated data miners to investigate specialized methods for mining time series data. Clustering is a popular data mining method due to its powerful exploratory nature and its usefulness as a preprocessing step for other data mining techniques. This article develops two novel clustering algorithms for time series data that are extensions of a crisp c-shapes algorithm. The two new algorithms are heuristic derivatives of
arXiv:1608.01072v1
fatcat:yyfd65p6nnevdcwfrwxsukdvia