Time series clustering along with optimized techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole clustering are available. Functionality can be easily extended with custom distance measures and centroid definitions.
|Date of publication||2017-06-08 12:10:09 UTC|
|Maintainer||Alexis Sarda <email@example.com>|
|Package repository||View on CRAN|
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