A similarity matrix is a matrix of values which show the similarities between two data points. The more discolored the data is, the greater the difference is between the two data points. Similarity matrices are heavily related to their counterparts, distance matrices and substitution matrices.
The image above is a similarity matrix that shows the analysis of a group of human genes involved in colon and colorectal cancer.
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