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Improving Semi-Supervised Classification using Clustering.

, , and . EAI Endorsed Trans. Scalable Inf. Syst., 7 (25): e3 (2020)

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A New Kernel Based Hybrid c-Means Clustering Model., and . FUZZ-IEEE, page 1-5. IEEE, (2007)A new imputation-based incomplete data-driven fuzzy modeling for accuracy improvement in ubiquitous computing applications., and . Int. J. Pervasive Comput. Commun., 17 (4): 426-442 (2021)A new kernel-based possibilistic intuitionistic fuzzy c-means clustering., and . Int. J. Artif. Intell. Soft Comput., 6 (4): 306-325 (2018)A conditionally positive definite kernel function for possibilistic clustering., , and . Int. J. Artif. Intell. Soft Comput., 6 (1): 75-91 (2017)A New Suppression-based Possibilistic Fuzzy c-means Clustering Algorithm., , and . EAI Endorsed Trans. Scalable Inf. Syst., 10 (3): e3 (2023)Improving Semi-Supervised Classification using Clustering., , and . EAI Endorsed Trans. Scalable Inf. Syst., 7 (25): e3 (2020)Robust spatial intuitionistic fuzzy C-means with city-block distance clustering for image segmentation., and . J. Intell. Fuzzy Syst., 35 (5): 5255-5264 (2018)A New semi-supervised clustering for incomplete data., and . J. Intell. Fuzzy Syst., 42 (2): 727-739 (2022)A new Kernelized hybrid c-mean clustering model with optimized parameters., and . Appl. Soft Comput., 10 (2): 381-389 (2010)Exploring different kernel functions for kernel-based clustering., and . Int. J. Artif. Intell. Soft Comput., 5 (3): 177-193 (2016)