## SimilarityMetrics.jl

Standard similarity metrics in Julia
Popularity
1 Star
Updated Last
9 Years Ago
Started In
July 2013

# NOTICE

This package is unmaintained. Its reliability is not guaranteed.

# Introduction

Available metrics:

• `cosine(a, b)`: Cosine similarity between sets/vectors.
• `expl1(a, b)`: Exponentiated L1 distance between vectors.
• `expl2(a, b)`: Exponentiated L2 distance between vectors.
• `jaccard(a, b)`: Cardinality of intersection divided by cardinality of union for Set's and IntSet's, extended Jaccard definition for AbstractVector's.
• `matching(a, b)`: Cardinality of intersection for Set's and IntSet's, dot product for AbstractVector's. Sometimes called the Simple Matching Coefficient.
• `overlap(a, b)`: Cardinality of intersection divided by minimum of cardinality of two inputs. AbstractVector's use definition like extended Jaccard.
• `pearson(a, b)`: Pearson correlation between sets/vectors.

# Usage Examples

Measuring the similarity between sets:

``````using SimilarityMetrics

a, b = Set{ASCIIString}(), Set{ASCIIString}()

cosine(a, b)
expl1(a, b)
expl2(a, b)
jaccard(a, b)
matching(a, b)
overlap(a, b)
pearson(a, b)
``````

Measuring the similarity between vectors:

``````a, b = [0, 0, 0, 0], [0, 0, 0, 0]

a = 1
a = 1

b = 1
b = 1

cosine(a, b)
expl1(a, b)
expl2(a, b)
jaccard(a, b)
matching(a, b)
overlap(a, b)
pearson(a, b)
``````