Similarity matrix

Another type of matrix is what is known as a similarity matrix.  As we learned below a correlation matrix has correlation values on ranging from -1 to 1.  In the similarity matrix, the similarity between two data points is shown and higher numbers are given to more similar points and lower or even negative scores are given for the more dissimilar points.  That means a difference between this similarity matrix and the correlation matrix is the values showing similarity.  Above is a similarity matrix and as you can see the similarity values range from -3.6 to 6 with -3.6 being the least similar and 6 being the most similar.

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