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GMM values.txt
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GMM values.txt
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K = 5
Training loss = 11505.443844046942 | Validation loss = 5630.744237501355
Final mu: [[ 0.0153888 -1.43548187]
[ 0.59531736 -1.73735106]
[ 1.29753365 0.31012234]
[ 0.33310067 -1.69404872]
[-1.10367272 -3.30715643]]
% of points belonging to cluster 0 is: 32.62336883155842%
% of points belonging to cluster 1 is: 0.0599970001499925%
% of points belonging to cluster 2 is: 34.108294585270734%
% of points belonging to cluster 3 is: 0%
% of points belonging to cluster 4 is: 33.20833958302085%
K = 4
Training loss = 11505.832800785663 | Validation loss = 5629.66957579087
Final mu: [[ 0.16802086 -1.57892802]
[ 1.29761155 0.31023906]
[-1.10380409 -3.30722922]
[-0.0188003 -1.30320389]]
% of points belonging to cluster 0 is: 32.72836358182091%
% of points belonging to cluster 1 is: 34.093295335233236%
% of points belonging to cluster 2 is: 33.178341082945856%
% of points belonging to cluster 3 is: 0%
K = 2
Training loss = 16155.742413818527 | Validation loss = 7987.787755825382
Final mu: [[ 1.29410207 0.3062504 ]
[-0.49442486 -2.42471677]]
% of points belonging to cluster 0 is: 34.3932803359832%
% of points belonging to cluster 1 is: 65.6067196640168%
K = 1
Training loss = 23266.09538520167 | Validation loss = 11652.235514611031
Final mu: [[ 0.11896894 -1.47994143]]
% of points belonging to cluster 0 is: 100.0%