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I had a question regarding the smoothen_clusters function:
If I understand well, this function compute the LLE for all points. Hower, the follwoing condition avoid to compute the LLE of the last points... Any particular reason for that ? Since the vector LLE_all_points_clusters is of size [clustered_points_len, self.number_of_clusters], the last point have a LLE fixed to zero... which semms strange!
if point + self.window_size - 1 < complete_D_train.shape[0]:
Thanks in advance,
Flo
The text was updated successfully, but these errors were encountered:
Hi all,
I had a question regarding the smoothen_clusters function:
If I understand well, this function compute the LLE for all points. Hower, the follwoing condition avoid to compute the LLE of the last points... Any particular reason for that ? Since the vector LLE_all_points_clusters is of size [clustered_points_len, self.number_of_clusters], the last point have a LLE fixed to zero... which semms strange!
if point + self.window_size - 1 < complete_D_train.shape[0]:
Thanks in advance,
Flo
The text was updated successfully, but these errors were encountered: