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Fuzzy C-Means clustering of incomplete data based on probabilistic information granules of missing values.

, , , , and . Knowl. Based Syst., (2016)

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Imputation Using a Correlation-Enhanced Auto-Associative Neural Network with Dynamic Processing of Missing Values., , , and . ISNN (1), volume 11554 of Lecture Notes in Computer Science, page 223-231. Springer, (2019)A Linguistically Interpretable Deep Fuzzy Classification System With Feature Transformation and Reconstruction., , , , and . IEEE Trans. Fuzzy Syst., 32 (8): 4297-4311 (August 2024)Missing Value Imputations by Rule-Based Incomplete Data Fuzzy Modeling., , , , , and . ICC, page 1-6. IEEE, (2019)An Integrating Data Mining Algorithm in Mobile Target Vectoring Based on Kalman Filter., , and . JCAI, page 777-780. IEEE Computer Society, (2009)Task-Role-Based Access Control in Application on MIS., , , , and . APSCC, page 153-159. IEEE Computer Society, (2006)Multivariate Time Series Imputation Based on Residual GRU and AANN., , and . ICCDA, page 49-52. ACM, (2022)Imbalanced-type Incomplete Data Fuzzy Modeling and Missing Value Imputations., , , , and . ICMLSC, page 33-37. ACM, (2021)Image feature selection embedded distribution differences between classes for convolutional neural network., , , and . Appl. Soft Comput., (2022)Takagi-Sugeno Modeling of Incomplete Data for Missing Value Imputation With the Use of Alternate Learning., , and . IEEE Access, (2020)Imputation of Incomplete Data Based on Attribute Cross Fitting Model and Iterative Missing Value Variables., , , and . ISNN, volume 12557 of Lecture Notes in Computer Science, page 167-175. Springer, (2020)