G. Beliakov and M. King (Australia)
Clustering, unsupervised classification, fuzzy c-means,data induced metric, density estimation.
We propose a new data induced metric to perform un supervised data classification (clustering). Our goal is to automatically recognize clusters of non-convex shape. We present a new version of fuzzy c-means al gorithm, based on the data induced metric, which is capable to identify non-convex d-dimensional clusters.
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