Reading UCI-X-test.csv and UCI-Y-test.csv
Executing PCA
Evaluating eigenvalues
Dimensions to reach 90% of variation: 32
Clustering to 6 clusters

Confusion Matrix:

Actual->     Walking   Walk-up   Walk-dwn  Sitting   Standing   Laying
Cluster 0         9       470        54         4         2         1
Cluster 1         1         0       344         0         0         5
Cluster 2         0         0         1       313        97         0
Cluster 3         0         0         0       171       433         0
Cluster 4         0         0         0         3         0       531
Cluster 5       486         1        21         0         0         0