Cosine Similarity is a measure of the similarity between two non-zero vectors of an inner product space. It is useful in determining just how similar two datasets are. Fundamentally it does not factor in the magnitude of the vectors; it only calculates the angular distance between them.

This calculator can be used to calculate the Cosine distance between:

  1. Two comma-separated vectors made up of numerals e.g. Vector A = { 0, 1, 2, 3, ... n } and Vector B = { 100, 110, 120, ... k } or,

NB: The vectors MUST have the same number of members.

NB: For Cosine Similarity using the "Bag of Words" Method use this calculator.

Result

Activity

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06 Jul, 7:33 PM
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A visitor has used the Cosine Similarity (Vector Method) calculator.

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A visitor has used the Cosine Similarity (Vector Method) calculator.

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A visitor has used the Cosine Similarity (Vector Method) calculator.

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05 Jul, 12:48 PM
05 Jul, 12:48 PM
12 48 05 Jul

A visitor has used the Cosine Similarity (Vector Method) calculator.

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05 Jul, 10:52 AM
05 Jul, 10:52 AM
10 52 05 Jul

A visitor has used the Cosine Similarity (Vector Method) calculator.

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05 Jul, 10:47 AM
05 Jul, 10:47 AM
10 47 05 Jul

A visitor has used the Cosine Similarity (Vector Method) calculator.

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05 Jul, 10:46 AM
05 Jul, 10:46 AM
10 46 05 Jul

A visitor has used the Cosine Similarity (Vector Method) calculator.

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05 Jul, 10:45 AM
05 Jul, 10:45 AM
10 45 05 Jul

A visitor has used the Cosine Similarity (Vector Method) calculator.

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05 Jul, 10:44 AM
05 Jul, 10:44 AM
10 44 05 Jul