Enhanced co-occurrence distances for categorical data in unsupervised learning

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010, 2010, pp. 2071 - 2078
Issue Date:
2010-01
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Distance metrics for categorical data play an important role in unsupervised learning such as clustering. They also dramatically affect learning accuracy and computational complexities. Recently, two co-occurrence methods, Co-occurrence Distance based on
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