In the co-occurrence clustering algorithm, feature selection is re-visited in each iteration. based on the dropout pattern. We demonstrate in multiple published datasets that this binary dropout pattern is as useful as the quantitative expression of highly variable … Continue reading In the co-occurrence clustering algorithm, feature selection is re-visited in each iteration