September 2014
Intermediate to advanced
320 pages
10h 24m
English
Content preview from Complex Networks
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Data Clustering
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Figure 7.8: k-means algorithm execution example. a) The initial centers and clusters.
b) First iteration. c) Stable centers and clusters
Time Complexity
The k-means algorithm has a time complexity of O(tknd) where n is number of ob-
jects under consideration, k is number of clusters, d is number of attributes for each
data point and t is number of iterations. Normally, k, t, d << n, we can therefore
assume that this algorithm is efficient and c
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