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Ergebnis der Suche nach: tit all "High-dimensional data clustering"
im Bestand: Gesamter Bestand

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Artikel 1 p-clustval: a novel $$p$$ p -adic approach for enhanced clustering of high-dimensional single-cell RNASeq data
Enthalten in International journal of data science and analytics 14.1.2025: 1-16
Online Ressource
Artikel 2 Feature selection in high-dimensional data: an enhanced RIME optimization with information entropy pruning and DBSCAN clustering
Enthalten in International journal of machine learning and cybernetics 24.4.2024: 1-44
Online Ressource
Artikel 3 An effective clustering scheme for high-dimensional data
Enthalten in Multimedia tools and applications 19.10.2023: 1-45
Online Ressource
Online Ressourcen 4 Methodological contributions to the challenges and opportunities of high dimensional clustering in the context of single-cell data
Fütterer, Cornelia Sigrid. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2022
Online Ressource
Artikel 5 Parameter-wise co-clustering for high-dimensional data
Enthalten in Computational statistics 3.10.2022: 1-23
Online Ressource
Artikel 6 A novel minorization–maximization framework for simultaneous feature selection and clustering of high-dimensional count data
Enthalten in Pattern analysis and applications 27.7.2022: 1-16
Online Ressource
Artikel 7 Enhanced synchronization-inspired clustering for high-dimensional data
Enthalten in Complex & intelligent systems 3.9.2020: 1-21
Online Ressource
Artikel 8 Using Projection-Based Clustering to Find Distance- and Density-Based Clusters in High-Dimensional Data
Enthalten in Journal of classification 20.8.2020: 1-33
Online Ressource
Artikel 9 ASCRClu: an adaptive subspace combination and reduction algorithm for clustering of high-dimensional data
Enthalten in Pattern analysis and applications 22.4.2020: 1-13
Online Ressource
Online Ressourcen 10 Dimensionality reduction and subspace clustering in mixed reality for condition monitoring of high-dimensional production data
Hoppenstedt, Burkhard. - Ulm : Universität Ulm, 2019
Online Ressource


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