{'fraction_non_alphanumeric': 0.01838235294117647, 'fraction_numerical': 0.0, 'mean_word_length': 5.646341463414634, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A Model for Multidimensional Similarity

A multiplicative model is proposed for the similarity between stimuli varying in easily discerned dimensions. According to this model, the multidimensional similarity estimate equals a product, weighted by exponents, of the unidimensional estimates. The multiplicative model, together with two alternative ones, a vector model and an additive model, are tested in two experiments where the stimuli are varied in two dimensions. The multiplicative model seems to describe the empirical data most closely.