  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.
