{'fraction_non_alphanumeric': 0.01956521739130435, 'fraction_numerical': 0.0, 'mean_word_length': 4.987012987012987, '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}}
IMPROVED MEMORY-BASED CLASSIFICATION

Memory-based methods and memory-based reasoning are powerful classification methods but for a large number of data items they are quite expensive. The number of memorized data items is reduced if some fuzziness in the representation of the data is introduced. Memory-based techniques are extended to deal with non-point objects in feature spaces. The effectiveness of this approach is demonstrated in a number of examples.