In many image processing papers, I've seen that they used fuzzy logic for segmentationI wonder how fuzzification impact the result that made Fuzzy-C-Means better than ordinary K-Means.PS. If possible could you provide me the sample data sets for case study
Why does image segmentation benefit from fuzzy clustering?
machine learning;clustering;k means;image classification;fuzzy logic