Revamping the Cosine Similarity Calculator Tool

One of the most interesting problems in data mining and cluster analysis relates to the transformation of similarities into distances without breaking the triangular inequality condition for a distance metric.

Some of the transformations found in the literature are based on heuristics and tricks of the trade, or based on assumptions applicable to a given knowledge domain. This topic is discussed in our tutorial on distance and similarity (

We have incorporated to our Cosine Similarity Calculator a simple methodology that easily transforms cosine similarities into distances while obeying the requirements for a distance metric. It all boils down to mean-centering the variables.

Check our revamped and improved Cosine Similarity Calculator tool now at

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