View Source Similarity (Similarity v0.2.2)
Contains basic functions for similarity calculation.
Similarity.Cosine
- easy cosine similarity calculation
Similarity.Simhash
- simhash similarity calculation between two strings
Link to this section Summary
Functions
Calculates Cosine similarity between two vectors.
Multiplies cosine similarity with the square root of compared vectors length.
Calculates Euclidean dot product of two vectors.
Calculates Euclidean magnitude of one vector.
Link to this section Functions
Calculates Cosine similarity between two vectors.
https://en.wikipedia.org/wiki/Cosine_similarity#Definition
example
Example:
Similarity.cosine([1, 2, 3], [1, 2, 8])
Multiplies cosine similarity with the square root of compared vectors length.
srol = square root of length
This gives better comparable numbers in real life where the number of attributes compared might differ. Use this if the number of shared attributes between real world objects differ.
example
Example:
Similarity.cosine_srol([1, 2, 3], [1, 2, 8])
Calculates Euclidean dot product of two vectors.
https://en.wikipedia.org/wiki/Euclidean_vector#Dot_product
example
Example:
iex> Similarity.dot_product([1, 2], [3, 4])
11
Calculates Euclidean magnitude of one vector.
https://en.wikipedia.org/wiki/Magnitude_(mathematics)#Euclidean_vector_space
example
Example:
iex> Similarity.magnitude([2])
2.0