Abstract Dissimilarity representation plays a very important role in pattern recognition due to its ability to capture structural and relational information between samples. Dissimilarity space embedding is an approach in which each sample is represented as a vector based on its dissimilarity to some other samples called prototypes. However. lack of neighborhood-preserving. https://miabellesbabyes.shop/product-category/girls-fall-casual-dress/