kernel-based fuzzy clustering, distance measure, feature vector, sample weighting, a kernel function

Although most of the well-known fuzzy clustering algorithms are rather sensitive to noise, there are some more profound possibilistic fuzzy clustering techniques based on kernel distance metrics that are not subject to this problem. The paper presents a survey on this type of fuzzy clustering method. A bunch of experimental evaluation is performed for this set of methods