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Clustering by Searching Density Peaks via Local Standard Deviation., , and . IDEAL, volume 10585 of Lecture Notes in Computer Science, page 295-305. Springer, (2017)Extending twin support vector machine classifier for multi-category classification problems., , , , , and . Intell. Data Anal., 17 (4): 649-664 (2013)Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors., , , , and . Inf. Sci., (2016)Two-stage hybrid feature selection algorithms for diagnosing erythemato-squamous diseases., , , , and . Health Inf. Sci. Syst., 1 (1): 10 (2013)Investigations of butterfly species identification from images in natural environments., , , , and . Int. J. Mach. Learn. Cybern., 12 (8): 2431-2442 (2021)An Adaptive Clustering Algorithm by Finding Density Peaks., and . PRICAI, volume 11013 of Lecture Notes in Computer Science, page 317-325. Springer, (2018)A novel method detecting the key clinic factors of portal vein system thrombosis of splenectomy & cardia devascularization patients for cirrhosis & portal hypertension., , , , , , , and . BMC Bioinform., 20-S (22): 720 (2019)Fetal brain tissue annotation and segmentation challenge results., , , , , , , , , and 48 other author(s). Medical Image Anal., (August 2023)SDW-DPC: An Advanced Clustering Algorithm by Searching Density Peaks using Standard Deviation Weighted Distance., , , and . CCIS, page 131-137. IEEE, (2022)The Differential Feature Detection and the Clustering Analysis to Breast Cancers., , , , and . IEA/AIE, volume 12144 of Lecture Notes in Computer Science, page 457-469. Springer, (2020)