Similarity and dissimilarity can be measured for two objects based on several features variables. Depending on the measurement scale of the features variable, similarity and dissimilarity (distance) can be determined. After the distance or similarity of each variable is determined, we can aggregate all features variables together into single Similarity (or dissimilarity) index between the two objects.
Distance for binary variables
Distance for nominal variables
Distance for ordinal variables
Distance for quantitative variables
Dissimilarity between two groups
Normalization of similarity or dissimilarity
Aggregation of mixed type of variables
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Preferable reference for this tutorial is
Teknomo, Kardi (2015) Similarity Measurement. http:\people.revoledu.comkardi tutorialSimilarity