Contains basic functions for similarity calculation.
Similarity.Cosine - easy cosine similarity calculation
Similarity.Simhash - simhash similarity calculation between two strings
Similarity.SorensenDice - Sorensen-Dice similarity for strings and collections
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.
For docs see Similarity.Simhash
Functions
Calculates Cosine similarity between two vectors.
https://en.wikipedia.org/wiki/Cosine_similarity#Definition
Example:
Similarity.cosine([1, 2, 3], [1, 2, 8])Raises ArgumentError when the vectors have different lengths or either vector
has zero magnitude.
Multiplies cosine similarity with the square root of compared vectors length.
srol here means square root of length
This gives better comparable numbers where the number of attributes
compared might differ. You can try to use this instead of cosine/2
if the number of shared attributes differ.
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:
iex> Similarity.dot_product([1, 2], [3, 4])
11Raises ArgumentError when the vectors have different lengths.
Calculates Euclidean magnitude of one vector.
https://en.wikipedia.org/wiki/Magnitude_(mathematics)#Euclidean_vector_space
Example:
iex> Similarity.magnitude([2])
2.0For docs see Similarity.Simhash
For docs see Similarity.SorensenDice