2 ms·
Don’t forget: „Clustering of Time Series Subsequences is Meaningless“ : https://www.cs.ucr.edu/~eamonn/meaningless.pdf https://www.cs.ucr.edu/~eamonn/meaningles
by amai 7y ago
Don’t forget: „Clustering of Time Series Subsequences is Meaningless“ : https://www.cs.ucr.edu/~eamonn/meaningless.pdf https://www.cs.ucr.edu/~eamonn/meaningless.pdf
- Topolomancer 7y agoBut this is not about clustering. It's about figuring out to what extent a certain subclass of features, namely the 'shapelets', are statistically significantly associated with a pre-defined binary outcome. The paper you mentioned is interesting, though, because it shows an issue that many algorithms are privy to: if the number of samples/features gets too large, at some point, you are only comparing _means_. (We are working on a paper to show the issues of this when it comes to time series classification.)