Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: There exist a multitude of fuzzy clustering algorithms with ll understood properties and benefits in various applications. Hover, there has been very little analysis on using fuzzy clustering algorithms to generate the base clusterings in cluster ensembles.  focuses on the comparison of using hard and fuzzy c-means algorithms in the ll known evidence-accumulation framework of cluster ensembles. Our new findings include the observations that the fuzzy c-means requires much fer base clusterings for the cluster ensemble to converge, and is more tolerant of outliers in the data. Some insights are provided regarding the observed phenomena in our experiments.
['Tsaipei Wang']
I am writing a research paper on a idea Comparing hard and fuzzy c-means for evidence-accumulation clustering
[{"from": "human", "value": "I am writing a research paper on a idea Comparing hard and fuzzy c-means for evidence-accumulation clustering"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: There exist a multitude of fuzzy clustering algorithms with ll understood properties and benefits in various applications. Hover, there has been very little analysis on using fuzzy clustering algorithms to generate the base clusterings in cluster ensembles.  focuses on the comparison of using hard and fuzzy c-means algorithms in the ll known evidence-accumulation framework of cluster ensembles. Our new findings include the observations that the fuzzy c-means requires much fer base clusterings for the cluster ensemble to converge, and is more tolerant of outliers in the data. Some insights are provided regarding the observed phenomena in our experiments."}]