Fuzzy C-Means Density based Clustering using Data Induced Metric.
Gleb Beliakov, Matthew King · International conference on Artificial intelligence and applications · 2005
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.