> java weka.clusterers.SimpleKMeans -p 1 -l G:Programdata_Factoryexample.model -T G:Programdata_Factorysave_file_ID2Class.arff
0 1 (0)
1 2 (0)
2 1 (0)
3 3 (57)
4 1 (0)
> java weka.clusterers.SimpleKMeans -l G:Programdata_Factoryexample.model -T G:Programdata_Factorysave_file_ID2Class.arff
kMeans
======
Number of iterations: 8
Within cluster sum of squared errors: 252.54315798169944
Missing values globally replaced with mean/mode
Cluster centroids:
Cluster#
Attribute Full Data 0 1 2 3
(200) (9) (139) (29) (23)
==================================================================
H00 7.66 57.5556 2.9281 3.3793 22.1304
H01 3.265 45.5556 0.1799 0 9.4783
H02 2.015 28.4444 0.1007 0 5.7826
H03 1.96 19.6667 0.2734 0 7.6957
H04 1.505 17.6667 0.3957 0.4828 3.1739
H05 1.13 13.1111 0 0.8621 3.6087
H06 1.855 8 1.1583 2.0345 3.4348
H07 2.49 6.5556 1.0719 5.1724 6.087
H08 3.51 7.5556 0.5899 14.1724 6.1304
H09 5.295 18.5556 0.223 21.8966 9.8261
H10 7.12 23.6667 0.8921 26 14.4783
H11 8.195 25.2222 0.7194 24.7931 25.7826
H12 10.505 20.7778 1.554 29.7241 36.3478
H13 11.245 7.2222 2.3381 30.7241 42.087
H14 10.32 0.3333 4.5396 11.1724 48.087
H15 10.55 0 4.8993 7.2069 53.0435
H16 9.71 0 4.8921 4.5517 49.1304
H17 10.72 5.6667 5.7914 8.0345 45.8696
H18 12.315 0 7.2518 15.6552 43.5217
H19 14.185 0 10.0647 16.2759 42
H20 16.68 0 12.8417 25.2414 35.6087
H21 18.07 4.3333 15.4748 22.7241 33.2609
H22 16.875 15.6667 13.1511 19.4483 36.6087
H23 7.375 14.6667 4.4173 7.5172 22.2174
=== Clustering stats for training data ===
=== Clustering stats for testing data ===
Clustered Instances
1 3 ( 60%)
2 1 ( 20%)
3 1 ( 20%)