Self-Adaptive -Means Based on a Covering Algorithm

Table 1

Mathematical notations.

Symbol	Explanation
	Denotes a set of points in the -dimensional Euclidean space
	Denotes that there are data points in dataset
	Denotes a positive integer specifying the number of clusters
	Denotes the set of cluster centers
	Denotes the Euclidean distance between and
	Denotes that is a subset of
	Denotes the minimum Euclidean distance between and set
centroid(Y)	Denotes the centroid of set
	Denotes the minimum Euclidean distance between and in set
	Denotes the cost of with respect to
	Denotes the sum of the squares of the minimum Euclidean distance between in set and set
	Denotes the sum of the minimum Euclidean distances between in set and set
	Denotes the cost of optimal clustering algorithms
	Denotes the standard deviation vector of a cluster