An Improved Hierarchical Clustering Algorithm Based on Fuzzy Weighted

There is always the problem of choosing the merge point and split point in traditional hierarchical clustering algorithm.Once a group of objects are merged or split,the next step of the process will be done on the new category,in addition,the already done processing can't cancel,which could result in low quality clustering results.According to this problem,this paper proposes a weighted fuzzy hierarchical clustering algorithm.Every time when we stratify and cluster,we first calculate the reliability of the object to the category,and then compare it with the threshold.If the former is less than the latter,once again we determine its belonging category,which will solve the above problem.In the end,the experimental results show that this algorithm is feasible and effective.