{'fraction_non_alphanumeric': 0.017991004497751123, 'fraction_numerical': 0.0, 'mean_word_length': 5.6138613861386135, '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}}
The Application Research of High-dimensional Mixed-attribute Data Clustering Algorithm

High-dimensional mixed-attribute data clustering has become an important research direction in data mining area. Because of the advantages of the information technology, data collection becomes much easier and thus result in the dimensions and complexity of the database are growing much larger. The traditional clustering algorithms are often unable to use these data to obtain good results. This paper presents mixed attributes of a high-dimensional clustering algorithm GA-KP, which has been applied to customer data segmentation of automobile industry collaborative platform.