07 | 06 | 2020

Similarity, dissimilarity and distances among data records

Articles in this category deal with the problem to identify how alike two data records with n variables are. Such data records can be conceived as objects in a n-dimensional space. A general introduction can be found as well as a couple of documented algorithms for specific measurements. The algorithms introduce different metrics to calculate distances between such objects in the respective space. The functions return triangular matrices indicating the relationships among objects included in the analysis.

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1 Minkowski distance Jan Schulz 42701
2 Jaccard similarity Jan Schulz 102695
3 Hamming distance Jan Schulz 23406
4 Introduction to data similarity Jan Schulz 20900
5 Canberra distance Jan Schulz 62292
6 Bray-Curtis dissimilarity Jan Schulz 81938
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