An angular-type similarity coefficient between two vectors. It is like correlation, only without centering the vectors.
Questions tagged [cosine-similarity]
132 questions
9
votes
1 answer
Weighted Cosine Similarity
To convert cosine similarity to weighted cosine similarity, one can use at least two approaches. But I don't know which one is better.
The first approach is to first reweight each vector and then calculate a normal cosine similarity. In other…
Shayan
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3
votes
0 answers
Normalized Levenshtein distance and triangle inequality
One question regarding to the triangle inequality of normalized Levenshtein Distance. I use the well-known form D(X,Y) = 1 - d(X,Y) / MAX(|X|,|Y|) where d(X,Y) is Levenshtein Distance.
And I understand it violates the triangle inequality. But I…
Yukun
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3
votes
3 answers
Cosine similarity indexing?
Are there any open source implementations out there that can efficiently solve the following.
I'm given a fixed set $S$ of $n$-dimensional vectors of size $N$, where $N$ is of the order of a million.
Given an n-dimensional vector $v$, I want to…
dst
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