Time series k-means: A new k-means type smooth subspace clustering for time series data
Existing clustering algorithms are weak in extracting smooth subspaces for clustering time
series data. In this paper, we propose a new k-means type smooth subspace clustering …
series data. In this paper, we propose a new k-means type smooth subspace clustering …
[图书][B] Sub-sequencing for Time Series Clustering
AB Budowski - 2016 - search.proquest.com
A time series is a sequence of chronologically ordered real vectors. Time series are
collected consistently in various domains. The increasing availability of time series data has …
collected consistently in various domains. The increasing availability of time series data has …