Vol. 1(2) SEP 2011 - SAVAP International

Academic Research International
ISSN: 2223-9553
Volume 1, Issue 2, September 2011
Table 4 Results of Hierarchical and K-means
No, of
Sample
Emai
l
Regist
ration
Librar
y
Grades Video Chat
Audi
o
Course
Asse
ssme
nt
Test
K-
mea
ns
Hierarc
hical
30 1 3 3 2 2 1 1 2 1 2 1 2
37 1 3 3 2 2 1 1 2 1 2 1 2
64 2 3 3 2 2 2 1 2 2 2 1 2
100 1 3 3 2 2 1 1 3 1 2 1 2
145 1 3 3 3 2 1 1 1 1 3 1 2
149 2 3 3 2 2 2 1 2 2 2 1 2
162 1 3 3 2 1 1 1 2 1 2 1 2
186 1 3 3 2 2 1 1 2 1 2 1 2
239 1 3 3 2 2 1 1 2 1 2 1 2
310 1 3 3 2 2 1 1 2 1 2 1 2
332 1 3 3 1 2 1 1 2 1 4 1 2
58 1 4 4 2 4 1 2 3 2 2 2 1
121 1 4 4 2 4 1 2 4 2 2 2 1
123 1 4 4 2 4 1 2 4 2 2 2 1
166 1 4 4 2 4 1 2 3 2 2 2 1
173 1 4 4 2 4 1 2 3 2 2 2 1
241 1 4 4 2 4 1 2 3 2 2 2 1
278 1 4 4 2 4 1 2 4 2 2 2 1
318 1 4 4 2 4 1 2 4 2 2 2 1
47 3 3 4 3 4 3 3 4 3 4 3 2
69 2 3 3 2 3 2 3 3 2 3 3 2
88 1 4 4 1 3 1 4 2 4 2 3 2
89 2 3 3 2 2 2 3 2 3 2 3 2
117 3 4 4 2 4 3 3 3 3 3 3 2
139 3 3 3 2 4 3 3 3 3 3 3 2
178 3 3 4 3 4 3 3 4 3 4 3 2
184 1 4 4 1 3 1 4 2 4 2 3 2
198 2 3 3 2 3 3 3 3 3 3 3 2
228 1 4 4 1 3 1 4 2 4 2 3 2
258 3 3 3 1 3 3 3 3 3 3 3 2
268 2 3 4 2 3 2 3 3 3 3 3 2
276 2 3 4 2 3 2 3 3 3 3 3 2
296 3 3 3 1 3 3 3 3 3 3 3 2
311 3 3 3 2 4 3 3 3 3 3 3 2
The study was aimed to exploratory study in the field of innovation diffusion. K-means method was
used in this study to identify the different types of e-learning adoption patterns. Hair et al, (2007)
stressed that the most important basis for k-means cluster is used Euclidean distance which is the most
common distance measure. Nevertheless, the researcher should specify in advance the desired number
of clusters, K. Initial cluster centers are chosen in a first pass of the data, and then each additional
iteration group’s observations based on nearest Euclidean distance to the mean of the cluster. Cluster
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