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A probabilistic framework for optimizing projected clusters with categorical attributes.

. Sci. China Inf. Sci., 58 (7): 1-15 (2015)

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Chen Chen

Chen Chen

Shih Chen Chen

Yi-Chen Chen

Chen-Loung Chen

 

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Soft subspace clustering with an improved feature weight self-adjustment mechanism., , и . Int. J. Machine Learning & Cybernetics, 3 (1): 39-49 (2012)Clustering Categorical Sequences with Variable-Length Tuples Representation., , , и . KSEM, том 9983 из Lecture Notes in Computer Science, стр. 15-27. (2016)A New Centroid-Based Classifier for Text Categorization., , и . AINA Workshops, стр. 1217-1222. IEEE Computer Society, (2008)Sequential Representation of Clinical Data for Full-Fitting Survival Prediction., , , , , и . AINA Workshops, стр. 503-508. IEEE Computer Society, (2017)Kernel Representation Learning with Dynamic Regime Discovery for Time Series Forecasting., , , и . PAKDD (6), том 14650 из Lecture Notes in Computer Science, стр. 251-263. Springer, (2024)Automatic diagnostics of EEG pathology via capsule network with multi-level feature fusion., , , , и . BIBM, стр. 1274-1280. IEEE, (2022)PFBNet: a priori-fused boosting method for gene regulatory network inference., , , и . BMC Bioinform., 21 (1): 308 (2020)A probabilistic framework for optimizing projected clusters with categorical attributes.. Sci. China Inf. Sci., 58 (7): 1-15 (2015)A Robust Algorithm for Fuzzy Document Clustering., , и . AINA Workshops, стр. 679-684. IEEE Computer Society, (2009)Sequence-As-Feature Representation for Subspace Classification of Multivariate Time Series., , , и . APWeb/WAIM Workshops, том 11268 из Lecture Notes in Computer Science, стр. 35-45. Springer, (2018)