A Fuzzy Grid-Clustering Algorithm
K. Yogeswara Rao, Sita Kameswari, D. Siva Phanindra · 2011
A grid clustering algorithm normally partitions the data space into a finite number of cells to form a grid structure and then performs all clustering operations to group similar spatial objects into classes on this grid structure. In this paper, we explore fuzzy grid clustering algorithm where an object need not belong to a single class. Instead, we define a quantitative value which represents the degree up to which the object is a member of the class. This algorithm is used to cluster efficiently and simultaneously to reduce the size and borders of cells. This new method is a combination of standard fuzzy logic and grid clustering.