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Computer Games – Preferred Way of Using ICT by Grammar School Students

Table 2:

Summary for k-means clustering (DATA ICEEPSY)Number of clusters: 3Total number of training cases: 394
Algorithm k-Means
Distance method Euclidean distances
Initial centres Maximize initial distance
MD casewise deletion Yes
Cross-validation 10 folds
Testing sample 0
Training cases 394
Training error 1.662612
Number of clusters 3
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