Automatic determining optimal parameters in multi-kernel collaborative fuzzy clustering based on dimension constraint

Most cluster assignments using the traditional kernel clustering method strongly depend on the selection of the initial values. Under this scenario, directly using dimension reduction methods to deal with high-dimensional heterogeneous data in preprocessing might destroy the integrity of the original data. To overcome these limitations, this study constructs a high-dimensional kernel feature space that the high-dimensional heterogeneous data is …