Question: Decide the optimal K value by inspecting the resulting clusters, which should best describe the distinct phone usage behaviors. Describe the behavior associated with each
Decide the optimal K value by inspecting the resulting clusters, which should best describe the distinct phone usage behaviors. Describe the behavior associated with each cluster.
A.
== Run information ===
Scheme:weka.clusterers.SimpleKMeans -N 2 -A "weka.core.EuclideanDistance -R first-last" -I 500 -S 10
Relation: JG.09.04.15
Instances: 499
Attributes: 2
NumText
TalkMin
kMeans
======
Number of iterations: 12
cluster centroids:
Cluster#
Attribute Full Data 0 1 2
(499) (174) (174) (151)
=======================================================
NumText 200.481 262.069 284.7241 32.4371
TalkMin 570.1663 792.2241 327.8161 593.5497
=== Model and evaluation on training set ===
Clustered Instances
0 178 ( 36%)
1 321 ( 64%)
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