Alternatives to cosine similarityLast month we looked at how cosine similarity works and how we can use it to calculate the "similarity" of two vectors. But why choose cosine similarity over any other distance function? Why not use Euclidean distance, or Manhattan, or Chebyshev? In this article we'll dig in to some alternative methods for comparing vectors, and see how they compare to cosine similarity. Are any of them faster? Ar
{{#tags}}- {{label}}
{{/tags}}