Density-based Clustering of Time Series Subsequences

@inproceedings{Denton2004DensitybasedCO,
  title={Density-based Clustering of Time Series Subsequences},
  author={Anne M. Denton},
  year={2004}
}
Doubts have been raised that time series subsequences can be clustered in a meaningful way. This paper introduces a kernel-density-based algorithm that detects meaningful patterns in the presence of a vast number of random-walk-like subsequences. The value of density-based algorithms for noise elimination in general has long been demonstrated. The challenge of applying such techniques to time-series data consists in first specifying uninteresting sequences that are to be considered as noise… CONTINUE READING
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