Time series k-means: A new k-means type smooth subspace clustering for time series data

X Huang, Y Ye, L Xiong, RYK Lau, N Jiang, S Wang - Information Sciences, 2016 - Elsevier
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 …

[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 …