# Tagged Questions

Distance functions refer to functions used for quantifying the notion of distance between members of a set, or between objects.

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### What is the best way to cluster the gower similarity matrix?

I have a dataset that contains the gower similarity of each observation from each other. So the dataset looks like this: ...
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### R - Weighted Euclidean distance function [closed]

Does a Weighted Euclidean distance function already exists in R ?
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### Properties of Levenshtein, N-Gram, cosine and Jaccard distance coefficients - in sentence matching

Let's say I have two strings: string A: 'I went to the cafeteria and bought a sandwich.' string B: 'I heard the cafeteria is serving roast-beef sandwiches today'. ...
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### Distance Measure for Local Regression when Input components have Different Units

So the problem I am trying to tackle is one where a given input vector consists of vector components with widely different units. An example is an input vector having a speed component, an angular ...
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### Hamming distance with weights [closed]

I wonder if there is already existing variation of Hamming distance that takes into account not only two vector to calculate the distance but also their weights that reflect the significance or the ...