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Cited by 10
Topology Preservation Measures in the Visualization of Manifold-Type Multidimensional Data

A new embedding quality assessment method for manifold learning
Peng Zhang, Yuanyuan Ren, Bo Zhang
https://doi.org/10.1016/j.neucom.2012.05.013
Journal  Neurocomputing Volume 97 (2012), p. 251
Analyzing Quality Measurements for Dimensionality Reduction
Michael C. Thrun, Julian Märte, Quirin Stier
https://doi.org/10.3390/make5030056
Journal  Machine Learning and Knowledge Extraction Volume 5, Issue 3 (2023), p. 1076
Dual‐constrained and primal‐constrained principal component analysis
Erik Andries, Ramin Nikzad‐Langerodi
https://doi.org/10.1002/cem.3403
Journal  Journal of Chemometrics Volume 36, Issue 5 (2022)
Exploring non-negativity for improved manifold embedding: Application to t-SNE
Mebarka Allaoui, Rachid Hedjam, Khadra Bouanane, Mohand Saïd Allili, Mohammed Lamine Kherfi, Samir Brahim Belhaouari
https://doi.org/10.1016/j.knosys.2025.114547
Journal  Knowledge-Based Systems Volume 330 (2025), p. 114547
Large-Scale Multidimensional Data Visualization: A Web Service for Data Mining
Gintautas Dzemyda, Virginijus Marcinkevičius, Viktor Medvedev
https://doi.org/10.1007/978-3-642-24755-2_2
Book  Lecture Notes in Computer Science (Towards a Service-Based Internet) Volume 6994 (2011), p. 14
NODE-guided advanced diagnostic methods and ablation study for monitoring performance prediction of tensile splitting strength of rubberized concrete with brick powder
David Sinkhonde, Derrick Mirindi, Tajebe Bezabih, Frederic Mirindi
https://doi.org/10.1016/j.apples.2026.100359
Journal  Applications in Engineering Science Volume 28 (2026), p. 100359
Optimization of the Maximum Likelihood Estimator for Determining the Intrinsic Dimensionality of High–Dimensional Data
Rasa Karbauskaitė, Gintautas Dzemyda
https://doi.org/10.1515/amcs-2015-0064
Journal  International Journal of Applied Mathematics and Computer Science Volume 25, Issue 4 (2015), p. 895
Strategies for Multidimensional Data Visualization
Gintautas Dzemyda, Olga Kurasova, Julius Žilinskas
https://doi.org/10.1007/978-1-4419-0236-8_2
Book  Springer Optimization and Its Applications (Multidimensional Data Visualization) Volume 75 (2013), p. 5
Using Topology Preservation Measures for Multidimensional Intelligent Data Analysis in the Reduced Feature Space
Szymon Łukasik, Piotr Kulczycki
https://doi.org/10.1007/978-3-642-38610-7_18
Book  Lecture Notes in Computer Science (Artificial Intelligence and Soft Computing) Volume 7895 (2013), p. 184
WEB APPLICATION FOR LARGE-SCALE MULTIDIMENSIONAL DATA VISUALIZATION
Gintautas Dzemyda, Virginijus Marcinkevičius, Viktor Medvedev
https://doi.org/10.3846/13926292.2011.580381
Journal  Mathematical Modelling and Analysis Volume 16, Issue 1 (2011), p. 273


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