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Artikel 1 Analyzing rare earth mine distributions in mainland China: a machine learning approach with k-means clustering and SVM
Enthalten in Earth science informatics 17.6.2024: 1-12
Online Ressource
Artikel 2 An optimized SVM-RFE based feature selection and weighted entropy K-means approach for big data clustering in mapreduce
Enthalten in Multimedia tools and applications 15.2.2024: 1-22
Online Ressource
Artikel 3 Formulating GA-SOM as a Multivariate Clustering Tool for Managing Heterogeneity of Aquifers in Prediction of Groundwater Level Fluctuation by SVM Model
Enthalten in Iranian journal of science and technology / Transactions of civil engineering 28.10.2021: 1-17
Online Ressource
Artikel 4 GAPSO-SVM: An IDSS-based Energy-Aware Clustering Routing Algorithm for IoT Perception Layer
Enthalten in Wireless personal communications 28.8.2021: 1-20
Online Ressource
Artikel 5 Target Positioning Algorithm Based on RSS Fingerprints of SVM of Fuzzy Kernel Clustering
Enthalten in Wireless personal communications 24.3.2021: 1-19
Online Ressource
Artikel 6 An optimized SVM based possibilistic fuzzy c-means clustering algorithm for tumor segmentation
Enthalten in Multimedia tools and applications 3.9.2020: 1-29
Online Ressource
Artikel 7 Very large-scale data classification based on K-means clustering and multi-kernel SVM
Enthalten in Soft computing 29.1.2018: 1-9
Online Ressource
Artikel 8 Improved segmentation and change detection of multi-spectral satellite imagery using graph cut based clustering and multiclass SVM
Enthalten in Multimedia tools and applications 4.10.2017: 1-31
Online Ressource
Artikel 9 Ensemble Clustering Classification Applied to Competing SVM and One-Class Classifiers Exemplified by Plant MicroRNAs Data
Enthalten in Journal of integrative bioinformatics Bd. 13, 2016, Nr. 5: 11-21. 11 S.
Online Ressource
Artikel 10 A decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM
Enthalten in Journal of medical systems Bd. 40, 21.3.2016, Nr. 5, date:5.2016: 1-16
Online Ressource


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