{'fraction_non_alphanumeric': 0.03146067415730337, 'fraction_numerical': 0.008988764044943821, 'mean_word_length': 5.463768115942029, '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}}
Quantization, classification, and density estimation for Kohonen's Gaussian mixture

We consider the problem of joint quantization and classification for the example of a simple Gaussian mixture used by Kohonen (1988) to demonstrate the performance of his "learning vector quantization" (LVQ). Implicit in the problem is the issue of estimating the underlying densities, which is accomplished by CART/sup TM/ and by an inverse halftoning method.