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All the membership degree matrix element show the same proportion for each data in fuzzy c means

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I am implementing fuzzy c means in R (centers=2) based on this website do https://cran.r-project.org/web/packages/ppclust/vignettes/fcm.html. The difference is I am using my own data, consist of categorical and numeric variable, but I have already changed categorical to numeric manually using excel.

But the problem is the result is so weird. All the membership degree matrix element show the same proportion for each data (0.5 for each cluster). Distance between the final cluster prototypes result is 0. Final cluster prototype also shows 0 for all clusters.


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