Noise Clustering Using aNewDistance
Based onanewdistance, anovel noise-resistant fuzzy clustering algorithm called alternative noise clustering (ANC)algorithm isproposed. ANCisanextension ofthe noise clustering (NC)algorithm proposed byDave.By replacing theEuclidean distance usedintheobjective function ofNC algorithm, a new distance (nonEuclidean distance) isintroduced inNC algorithm. Basedonrobust statistical point ofviewandinfluence function, thenon-Euclidean distance ismorerobust than theEuclidean distance. SotheANC algorithm ismore robust thantheNC algorithm. Moreover, withthenew distance ANC candealwithnoises oroutliers better thanNC andfuzzyc-means(FCM).Thebetter performance oftheproposed algorithm isshownby performing experiments ondata sets.