A Clustering Algorithm Based on Square Inaccuracy Density
Jianxiao Chen, Renbiao Wang, Le Huang, Han Yin, Mao Rui, Liyan Dong · 2011
This paper proposed a kind of clustering algorithm based on square inaccuracy density. This algorithm adopted Square Inaccuracy density Function to fix on the parameter in clustering algorithm in order to avoid the problem caused by the random and subjective setting of the initial center of mass. In addition, this algorithm also brought in backtrack strategy to avoid the questions caught by the local solution. The experiment suggested that this algorithm can get a better result when it meets that the clustering points congregate in the form of sphere.