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Publications by A. Hullmann
Dimensionality Reduction of High-Dimensional Data With a NonLinear Principal Component Aligned Generative Topographic Mapping
SIAM Journal of Scientific Computing
Computational Mathematics
Applied Mathematics
Related publications
Principal Component Analysis for Sparse High-Dimensional Data
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
FastMap in Dimensionality Reduction: Ensemble Clustering of High Dimensional Data
International Journal of Data Science
Generative Topographic Mapping of Conformational Space
Molecular Informatics
Organic Chemistry
Drug Discovery
Computer Science Applications
Molecular Medicine
Structural Biology
Nonlinear Dimensionality Reduction in Climate Data
Nonlinear Processes in Geophysics
Petrology
Nonlinear Physics
Geochemistry
Geophysics
Statistical
High-Dimensional Data Classification Based on Principal Component Analysis Dimension Reduction and Improved BP Algorithm
DEStech Transactions on Computer Science and Engineering
Principal Component Analysis Coupled With Nonlinear Regression for Chemistry Reduction
Combustion and Flame
Chemistry
Astronomy
Energy Engineering
Fuel Technology
Chemical Engineering
Power Technology
Physics
Nonlinear Regression With High-Dimensional Space Mapping for Blood Component Spectral Quantitative Analysis
Journal of Spectroscopy
Optics
Analytical Chemistry
Atomic
Spectroscopy
Molecular Physics,
Kernel Principal Component Analysis for Dimensionality Reduction in fMRI-based Diagnosis of ADHD
Frontiers in Systems Neuroscience
Molecular Neuroscience
Developmental Neuroscience
Neuroscience
Cellular
Cognitive Neuroscience
Nonlinear Dimensionality Reduction of Large Datasets for Data Exploration
Data Mining VII: Data, Text and Web Mining and their Business Applications
