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Diffeomorphic Dimensionality Reduction.

2009
This paper introduces a new approach to constructing meaningful lower dimensional representations of sets of data points. We argue that constraining the mapping between the high and low dimensional spaces to be a diffeomorphism is a natural way of ensuring that pairwise distances are approximately preserved.
Walder, C., Schölkopf, B.
openaire   +2 more sources

One-Dimensional Covalent Organic Frameworks for the 2e− Oxygen Reduction Reaction

Angewandte Chemie - International Edition, 2023
Qing Xu, Xuewen Li
exaly  

Dimensionality Reduction

2019
Dimensionality reduction is a hot research topic in data analysis today. Thanks to the advances in high-performance computing technologies and in the engineering eld, we entered in the so-called big-data era and an enormous quantity of data is available in every scientificc area, ranging from social networking, economy and politics to e-health and life
openaire   +3 more sources

Overview and comparative study of dimensionality reduction techniques for high dimensional data

Information Fusion, 2020
Muhammad Kashif Hanif   +2 more
exaly  

Dimensional Reduction of Cs2AgBiBr6: A 2D Hybrid Double Perovskite with Strong Polarization Sensitivity

Angewandte Chemie - International Edition, 2020
Han Shiguo, Zhihua Sun, Junhua Luo
exaly  

Visual cluster separation using high-dimensional sharpened dimensionality reduction

Information Visualization, 2022
Scott Trager   +2 more
exaly  

Dimensional Reduction of Metal–Organic Frameworks for Enhanced Cryopreservation of Red Blood Cells

Angewandte Chemie - International Edition, 2023
Qi Lei, Zhiyuan He, Stefan Wuttke
exaly  

Low-dimensional catalysts for oxygen reduction reaction

Progress in Natural Science: Materials International, 2020
Xin Tong, Shuhui Sun, Diane Rawach
exaly  

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