Clustering Gene Expression for Colon and Leukemia Dataset Using Affinity Propagation
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Abstract
The most prominent and widely used clustering algorithm is Lloyd’s algorithm sometimes also referred to as the k-means algorithm.
The k-means algorithm is one of the most widely used methods to partition a Dataset into groups of patterns. The main strength of the algorithm
is that it can quickly determine Clustering’s of the same point set for many values of k. However, the k-means method converges to one of many
local minima. And it is known that, the final result depends on the initial starting points. We introduce an global k-means, x-means and affinity
propagation. our experimental results show that, good initial starting points lead to improved solution
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Keyword: Data mining, Global k-means, x-means, Affinity propagation.
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