similarity

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Library "SimilarityMeasures" Similarity measures are statistical methods used to quantify the distance between different data sets or strings. There are various types of similarity measures, including those that compare: - data points (SSD, Euclidean, Manhattan, Minkowski, Chebyshev, Correlation, Cosine, Camberra, MAE, MSE, Lorentzian, Intersection, Penrose...

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Library "FunctionCosineSimilarity" Cosine Similarity method. function(sample_a, sample_b) Measure the similarity of 2 vectors.   Parameters:      sample_a : float array, values.      sample_b : float array, values.   Returns: float. diss(cosim) Dissimilarity helper function.   Parameters:      cosim : float, cosine similarity value (0 > 1)   Returns: float