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Similarity Matrix

Home » Glossaries » Similarity Matrix

Similarity Matrix

Similarity Matrix:

Similarity matrix is the opposite concept to the distance matrix . The elements of a similarity matrix measure pairwise similarities of objects - the greater similarity of two objects, the greater the value of the measure.


For example, the correlation matrix often may be considered as as a similarity matrix of variables - because it is natural to consider pairs of variables with higher values of the correlation coefficient as more similar each to other than pairs with lower values of the correlation coefficient.


See distance matrix for more details.

Browse Other Glossary Entries

Courses Using This Term

Multivariate Statistics
This course will teach you key multivariate procedures such as multivariate analysis of variance (MANOVA), principal components, factor analysis, and classification.
Regression Analysis
This course will teach you how multiple linear regression models are derived, the use software to implement them, what assumptions underlie the models, how to test whether your data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models.
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