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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