Curse of dimensionality in Time series with K-means
I have been lookig to the following notebook: time series clustering
where the writer says that the dataset is affected by the “Curse of Dimensionality”, so applying TimeSeriesKMeans offered by tslearn is not correct. Instead, PCA is applied on the column “values” of the timeseries to get just 2 components out of the time-series values and then a normal k-means function is used to divde into clusters.