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On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study.

, , , , , , , and . Data Min. Knowl. Discov., 30 (4): 891-927 (2016)

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Internal Evaluation of Unsupervised Outlier Detection., , , and . ACM Trans. Knowl. Discov. Data, 14 (4): 47:1-47:42 (2020)Design of OBF-TS Fuzzy Models Based on Multiple Clustering Validity Criteria., , and . ICTAI (2), page 336-339. IEEE Computer Society, (2007)0-7695-3015-X.Non-parametric Semi-supervised Learning by Bayesian Label Distribution Propagation., , and . SISAP, volume 13058 of Lecture Notes in Computer Science, page 118-132. Springer, (2021)Takagi-Sugeno Fuzzy Models in the Framework of Orthonormal Basis Functions., , and . IEEE Trans. Cybern., 43 (3): 858-870 (2013)Control of a bioprocess using orthonormal basis function fuzzy models., , and . FUZZ-IEEE, page 801-806. IEEE, (2004)A Cluster Based Hybrid Feature Selection Approach., and . BRACIS, page 43-48. IEEE Computer Society, (2015)Modeling and linguistic knowledge extraction from systems using fuzzy relational models., and . Fuzzy Sets Syst., 121 (1): 113-126 (2001)A Learning Object on Computational Intelligence., , , , , , and . ICALT, page 33. IEEE Computer Society, (2006)On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study., , , , , , , and . Data Min. Knowl. Discov., 30 (4): 891-927 (2016)Efficient Computation and Visualization of Multiple Density-Based Clustering Hierarchies., , , and . IEEE Trans. Knowl. Data Eng., 33 (8): 3075-3089 (2021)