Cited by 8
Topology Preservation Measures in the Visualization of Manifold-Type Multidimensional Data

Strategies for Multidimensional Data Visualization
Gintautas Dzemyda, Olga Kurasova, Julius Žilinskas
Book:  Springer Optimization and Its Applications (Multidimensional Data Visualization) Volume 75 (2013), p. 5
Large-Scale Multidimensional Data Visualization: A Web Service for Data Mining
Gintautas Dzemyda, Virginijus Marcinkevičius, Viktor Medvedev
Book:  Lecture Notes in Computer Science (Towards a Service-Based Internet) Volume 6994 (2011), p. 14
Using Topology Preservation Measures for Multidimensional Intelligent Data Analysis in the Reduced Feature Space
Szymon Łukasik, Piotr Kulczycki
Book:  Lecture Notes in Computer Science (Artificial Intelligence and Soft Computing) Volume 7895 (2013), p. 184
A new embedding quality assessment method for manifold learning
Peng Zhang, Yuanyuan Ren, Bo Zhang
Journal:  Neurocomputing Volume 97 (2012), p. 251
Analyzing Quality Measurements for Dimensionality Reduction
Michael C. Thrun, Julian Märte, Quirin Stier
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
Journal:  Journal of Chemometrics Volume 36, Issue 5 (2022)
Optimization of the Maximum Likelihood Estimator for Determining the Intrinsic Dimensionality of High–Dimensional Data
Rasa Karbauskaitė, Gintautas Dzemyda
Journal:  International Journal of Applied Mathematics and Computer Science Volume 25, Issue 4 (2015), p. 895
WEB APPLICATION FOR LARGE-SCALE MULTIDIMENSIONAL DATA VISUALIZATION
Gintautas Dzemyda, Virginijus Marcinkevičius, Viktor Medvedev
Journal:  Mathematical Modelling and Analysis Volume 16, Issue 1 (2011), p. 273