Accessing relevant images: Fuzzy K-Means

This paper uses Fuzzy K-Means clustering algorithm to access images from a collection of images. When using this algorithm one image can appear in more than one clusters unlike K-Means which is hard based grouping. The user can access images from an image search engine, picture library, trained data sets, etc. The images being accessed may have no association with what the user is actually looking for. Hence there is a necessity of providing the user more accurate collection of images which can be done through fuzzy K Means clustering.