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Approximating Dunn's Cluster Validity Indices for Partitions of Big Data., , , , и . IEEE Trans. Cybern., 49 (5): 1629-1641 (2019)Estimating Generalized Dunn's Cluster Validity Indices for Big Data., , , , и . SMC, стр. 656-661. IEEE, (2018)Unsupervised Parameter Estimation for One-Class Support Vector Machines., , , , и . PAKDD (2), том 9652 из Lecture Notes in Computer Science, стр. 183-195. Springer, (2016)Robust and efficient unsupervised anomaly detection in complex and dynamic environments.. University of Melbourne, Parkville, Victoria, Australia, (2018)base-search.net (ftumelbourne:oai:minerva-access.unimelb.edu.au:11343/213143).Urban Sensing for Anomalous Event Detection: - Distinguishing Between Legitimate Traffic Changes and Abnormal Traffic Variability., , , , , , и . ECML/PKDD (3), том 11053 из Lecture Notes in Computer Science, стр. 553-568. Springer, (2018)Change Point Detection for Streaming High-Dimensional Time Series., , , , и . DASFAA (3), том 11448 из Lecture Notes in Computer Science, стр. 515-519. Springer, (2019)Deep Multi-sphere Support Vector Data Description., и . SDM, стр. 109-117. SIAM, (2020)The conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume..Online K-Means Clustering with Lightweight Coresets., , и . Australasian Conference on Artificial Intelligence, том 11919 из Lecture Notes in Computer Science, стр. 191-202. Springer, (2019)LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection., , , , и . IEEE Trans. Knowl. Data Eng., 32 (4): 815-820 (2020)Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines., , , , , и . IEEE Trans. Neural Networks Learn. Syst., 29 (10): 5057-5070 (2018)