Similarity Preserving Representation Learning for Time Series Clustering

Qi Lei, Jinfeng Yi, Roman Vaculin +2

A considerable amount of clustering algorithms take instance-feature matrices as their inputs. As such, they cannot directly analyze time series data due to its temporal nature, us…