Clustering Algorithm Based on Grid Density with Level Factor

Clustering algorithm based on grid and density is a very important kind of clustering algorithm,but because of using monotonicity search method,it can't form an effective cluster.Therefore,proposed a new clustering algorithm GDLD with hierarchy factor and distance factor based on GDD algorithm.In GDLD algorithm,data space is divided into grid structure according to the requirements and calculated the mesh density,a new transition function is constructed to form an effective cluster.Experiments show that GDLD algorithm not only can discover clusters of arbitrary shape,but also make the efficiency greatly improved.Each cluster's density is reflected better and the changing process of the density is also reflected because of level factors,besides,the algorithm parameters are easier to define.