In this paper, we analyze the improvement of a well-known method, i.e. Isolation Forest, for which we introduce an innovative modification, referred to as the Fuzzy Set-Based Isolation Forest.Pawe KarczmarekAdam KiersztynWitold Pedrycz会议论文...
In more specific applica- tions, FCM has contributed to the development of safety warning models for coal faces using fuzzy clustering and neural networks [16] and the enhancement of anomaly detection in databases through a FCM-based isolation forest method [17]. Lastly, the forecasting of water...
NFMPAtt-Unet comprises three core components: the Multiscale Dynamic Weight Feature Pyramid module (MDWFP), the Hybrid Weighted Attention mechanism (HWA), and the Neighborhood Rough Set-based Fuzzy c-Means Feature Extraction module (NFCMFE). The MDWFP dynamically adjusts weights across multiple ...
N. A random forest regression based space vector PWM inverter controller for the induction motor drive. IEEE Trans. Ind. Electron. 64, 2689–2699 (2017). Google Scholar Tariq, M. F., Khan, A. Q., Abid, M. & Mustafa, G. Data-driven robust fault detection and isolation of three-...
Isolation forest as an alternative data-driven mineral prospectivity mapping method with a higher data-processing efficiency. Nat Resour Res. 2019;28:31–46. 10.1007/s11053-018-9375-6.Search in Google Scholar [11] Chen YL. Indicator pattern combination for mineral resource potential mapping with ...
Separation measures the isolation degree of all clusters, and can usually be computed by the average or minimum distance between each pair of cluster centers, ‖θi-θj‖2,i≠j; the larger this distance, the better the isolation of the clusters. Several CVIs based on these two metrics ...
To aggregate a set of FCMs given by experts with different credibility the proposed maps are multiplied with a nonnegative "credibility" weight. So the combination of these different FCMs will produce an augmented FCM. Methods for the aggregation of FCMs based on the dynamic properties of the...
In this study, we propose a set of methods enhancing the Isolation Forest on a basis of Fuzzy C-Means. The results of numerical experiments carried using 27 various datasets and reported in this paper lead us to the conclusion that FCM can play a pivotal role in an enhancement of Isolation...
Fig. 8. Wireless sensor network in Clustered based. A topological grouping of nodes in the transmission area is used to cluster them. A projected master node, also known as cluster head (CH) or master node, is at the top of this set of nodes in Fig. 9. The data is transferred from...
We also considered architectures based on GAN and VAE, but they did not show good results in preliminary experiments. During the experiments, the authors found out that SVM and fuzzy methods showed the best results when encoding blocks of events in the form of an event set model: for the On...