DISTATIS How to analyze multiple distance matrices
نویسندگان
چکیده
DISTATIS is a generalization of classical multidimensional scaling (MDS see the corresponding entry formore details on thismethod) proposed by Abdi et al., (2005). Its goal is to analyze several distance matrices computed on the same set of objects. The name DISTATIS is derived from a technique called STATIS whose goal is to analyze multiple data sets (see the corresponding entry for more details on this method, and Abdi, 2003). DISTATIS first evaluates the similarity between distance matrices. From this analysis, a compromise matrix is computed which represents the best aggregate of the original matrices. The original distance matrices are then projected onto the compromise.
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