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Queries about the approach

Hi @minhnguyen-cs ,

Thanks for sharing this code. I read the paper and am a little confused about few points. It would be great if you can help me in understanding the following points.

  1. The ATOM-HP dataset experiment looks like a case of normal clustering and not time series since you are treating all the points independently of time dimension. Is this understanding correct?

  2. What is the intuition behind m-TSNE working better than a DTW based approach. Do you think m-TSNE which uses EROS distance AND warping would work better since warping is important in time-series?

Thanks

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