Abstract: Traditional clustering algorithms based on density can not overcome the shortage with a variety of constraints in the existing clustering algorithm based on the density proposed. This paper proposed a clustering algorithm based on density with a variety of constraints. The algorithm introduces a variety of constraints into clustering algorithm to analyze the clustering results affected by a variety of constraints. Experimental results show that the algorithm in a multi constrained condition can complete a cluster analysis of the data points,and can obtain a better clustering results,provides a good theoretical support for really dealing with multiple constraints clustering.

Key words: Multiple constraints limit, Density, Clustering