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 cant 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.