SimilarityFunctions

Similarity Functions

We provide two mechanisms for computing the similarity between two semantic vectors:

• Static methods in the [Similarity class] (http://fozziethebeat.github.com/S-Space/apidocs/edu/ucla/sspace/common/Similarity.html)
• Standalone implementations of the [SimilarityFunction] (http://fozziethebeat.github.com/S-Space/apidocs/edu/ucla/sspace/sim/SimilarityFunction.java)

Both methods return the same value for each similarity type.

Supported Similarity metrics

We provide both static and standalone implementations of the following metrics:

• [Cosine similarity] (http://en.wikipedia.org/wiki/Cosine_similarity)
• [Pearson product-moment correlation coefficient] (http://en.wikipedia.org/wiki/Pearson_product-moment_correlation_coefficient )
• [Euclidean distance/similarity] (http://en.wikipedia.org/wiki/Euclidean_distance)
• [Spearman rank correlation coefficient] (http://en.wikipedia.org/wiki/Spearman_rank_correlation)
• [K-L Divergence] (http://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence)
• [Jaccard Index] (http://en.wikipedia.org/wiki/Jaccard_index)