Closed Axel-CH closed 1 year ago
Hello, I'm having Issue runing the clustering exemple, I don't know why, but the Hierarchical clusturing does not work.
Bellow the exemple code:
series = np.matrix([ [0., 0, 1, 2, 1, 0, 1, 0, 0], [0., 1, 2, 0, 0, 0, 0, 0, 0], [1., 2, 0, 0, 0, 0, 0, 1, 1], [0., 0, 1, 2, 1, 0, 1, 0, 0], [0., 1, 2, 0, 0, 0, 0, 0, 0], [1., 2, 0, 0, 0, 0, 0, 1, 1]]) ds = dtw.distance_matrix_fast(series, block=((1, 4), (3, 5))) model1 = clustering.Hierarchical(dtw.distance_matrix_fast, {}) cluster_idx = model1.fit(series) model1.plot("myplot.png")
The result:
As you can see, the clustering process stop itself at 83% and the model have missing attributes. Do you know what could cause that?
Details on my env: dtaidistance 2.3.9 matplotlib 3.6.0 Python 3.8.3 (default, Jul 2 2020, 16:21:59) [GCC 7.3.0] :: Anaconda, Inc. on linux
Thank you for you help
My Bad the mistake was on my side, I had to use model that keep track of the full clustering tree
Hello, I'm having Issue runing the clustering exemple, I don't know why, but the Hierarchical clusturing does not work.
Bellow the exemple code:
The result:
As you can see, the clustering process stop itself at 83% and the model have missing attributes. Do you know what could cause that?
Details on my env: dtaidistance 2.3.9 matplotlib 3.6.0 Python 3.8.3 (default, Jul 2 2020, 16:21:59) [GCC 7.3.0] :: Anaconda, Inc. on linux
Thank you for you help