A Review of Subsequence Time Series Clustering

Table 1

The overview of preproof period dimensions.

Article	Problem	Method	Algorithm	Goal	Extent
[41]	Reducing the size of the grammar and producing structure as a by-product/the input is not a continuous stream	Hierarchical clustering	SEQUITUR	Abstracting subsequences	No
[24]	Finding rules relating time series patterns	Pattern discovery	Rule finding algorithms, episode rule, simple rule discovery, 𝐾-means	Discovery of interesting, interpretable, and useful rules	No
[25]	Determining what distinguishes time series in that set from other time series obtained from the same source	Pattern discovery	𝐿-sequences	Identifying shared patterns	No
[4]	Supervised and unsupervised learning	Pattern discovery	PERUSE	Finding recurring patterns	[25]
[26]	Determining activation and repression of specific genes	Clustering	Cluster-buster	Finding clusters of prespecified motifs in DNA sequences	No