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Add to EdgeK+ Means : An Enhancement Over K-Means Clustering Algorithm
Jun 22, 2017
K-means (MacQueen, 1967) [1] is one of the simplest unsupervised learning algorithms that solve the well-known clustering problem. The procedure follows a simple and easy way to classify a given data set to a predefined, say K number of clusters. Determination of K is a difficult job and it is not known that which value of K can partition the objects as per our intuition. To overcome this problem we proposed K+ Means algorithm. This algorithm is an enhancement over K-Means algorithm.
* Authors: Co-author's name added Section 3: Step (a) and (b) of
K+Means algorithm are merged for simplicity. Section 3.1: K+ Means algorithm
complexity rectified. Section 4.3: Figure-7 and Figure-8 modified for clarity
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