{'fraction_non_alphanumeric': 0.012968299711815562, 'fraction_numerical': 0.001440922190201729, 'mean_word_length': 5.556603773584905, '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}}
Fuzzy algorithm for multidimensional clustering and elementary detections estimation

As the result of using a pencil beam in 3D radar, elementary detections, which come from one target, occur in few adjacent positions of the antenna beam. Similar operation is called data fuzzyfication in fuzzy logic. For the purpose of obtaining the best quality coefficient of single and group target discrimination it is necessary to use a clustering of elementary detection algorithm and parameter estimation based on elementary detection of the discriminating group. The modified fuzzy c-mean algorithm presented allows both multidimensional discrimination and estimation of the m-parameter target group.