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- W2386718711 abstract "Fuzzy clustering algorithm has a strong practicality,but the traditional Fuzzy C-Means(FCM)algorithm has limitation of equal partition trend for data sets,without considering the effect of clustering produced by actual distribution of the different samples.When all kinds of samples of data set have difference intensity,the clustering result is not very satisfactory.Therefore,this paper presents Fuzzy C-Means algorithm based on a Density function weighted(DFCM algorithm).The algorithm uses the data object density function as a weight for each data point.Experimental results show that,compared with the traditional Fuzzy C-Means algorithm,DFCM algorithm has better clustering results." @default.
- W2386718711 created "2016-06-24" @default.
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- W2386718711 date "2012-01-01" @default.
- W2386718711 modified "2023-09-26" @default.
- W2386718711 title "Research on Fuzzy C-Means clustering algorithm based on density function weighted" @default.
- W2386718711 hasPublicationYear "2012" @default.
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