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similarity matrix
A similarity matrix is a matrix of scores that represent the similarity between a number of data points. Each ''element'' of the similarity matrix contains a measure of similarity between two of the data points. Similarity matrices are strongly related to their counterparts, distance matrices and substitution matrices.
== Uses ==
Similarity matrices have a wide range of uses:
# To find clusters of data points.
# To align sequences of DNA.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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