Heatmap use about deeptemporalclustering HOT 2 CLOSED

Say that I have a number of 1d time series of equal length L and that I want to divide them into k clusters. I understand that I can use h = dtc.heatmap_model.predict(X_train)[1] to obtain a array of shape [L, k]. How do I interpret these results ? Thank you !

from deeptemporalclustering.

The array h[:, k] is the class activation map for cluster k, meaning that each element represents the contribution of this time step to being assigned to cluster k. Please also see this issue where I gave some explanation on the heatmap.

Note that the heatmap network is not necessary to perform the clustering, it is a tool for results explainability.

from deeptemporalclustering.