Semi-supervised consensus clustering is a promising strategy to compensate for the subjectivity of clustering and its sensitivity to design factors. with various techniques being recently proposed to integrate domain knowledge and multiple clustering partitions. In this article. we present a new approach that makes double use of domain knowledge. https://herbsdailyes.shop/product-category/d-vitamins/