Results 31 to 40 of about 8,205,868 (397)

A Comprehensive Review of Dimensionality Reduction Techniques for Feature Selection and Feature Extraction

Journal of Applied Science and Technology Trends, 2020
Due to sharp increases in data dimensions, working on every data mining or machine learning (ML) task requires more efficient techniques to get the desired results.
R. Zebari, A. Abdulazeez, Diyar Qader Zeebaree, D. A. Zebari, J. Saeed   +4 more
semanticscholar   +1 more source

An Orthogonal Locality and Globality Dimensionality Reduction Method Based on Twin Eigen Decomposition

IEEE Access, 2021
Dimensionality reduction is a hot research topic in pattern recognition. Traditional dimensionality reduction methods can be separated into linear dimensionality reduction methods and nonlinear dimensionality reduction methods.
Shuzhi Su, Gang Zhu, Yanmin Zhu
doaj   +1 more source

Analysis of Dimensionality Reduction Techniques on Big Data

IEEE Access, 2020
Due to digitization, a huge volume of data is being generated across several sectors such as healthcare, production, sales, IoT devices, Web, organizations. Machine learning algorithms are used to uncover patterns among the attributes of this data. Hence,
G. T. Reddy, M. P. K. Reddy, Kuruva Lakshmanna, Rajesh Kaluri, D. Rajput, Gautam Srivastava, Ieee Thar Baker Senior Member, Gautam Srivastava   +7 more
semanticscholar   +1 more source

UMAP as a Dimensionality Reduction Tool for Molecular Dynamics Simulations of Biomacromolecules: A Comparison Study.

Journal of Physical Chemistry B, 2021
Proteins are the molecular machines of life. The multitude of possible conformations that proteins can adopt determines their free-energy landscapes.
Francesco Trozzi, Xinlei Wang, Peng Tao
semanticscholar   +1 more source

Dimensionality Reduction for Handwritten Digit Recognition [PDF]

EAI Endorsed Transactions on Cloud Systems, 2018
Human perception of dimensions is usually limited to two or three degrees. Any further increase in the number of dimensions usually leads to the difficulty in visual imagination for any person.
Ankita Das, Tuhin Kundu, Chandran Saravanan   +2 more
doaj   +1 more source

Adaptive slope reliability analysis method based on sliced inverse regression dimensionality reduction

Frontiers in Ecology and Evolution, 2023
The response surface model has been widely used in slope reliability analysis owing to its efficiency. However, this method still has certain limitations, especially the curse of high dimensionality when considering the spatial variability of ...
Zheng Zhou, Zheng Zhou, Zheng Zhou, Hai-Bin Xiong, Hai-Bin Xiong, Hai-Bin Xiong, Wen-Xia Wu, Wen-Xia Wu, Yi-Jian Yang, Yi-Jian Yang, Yi-Jian Yang, Xu-Hai Yang, Xu-Hai Yang   +12 more
doaj   +1 more source

Dimensionality Reduction Mappings [PDF]

, 2011
A wealth of powerful dimensionality reduction methods has been established which can be used for data visualization and preprocessing. These are accompanied by formal evaluation schemes, which allow a quantitative evaluation along general principles and ...
Biehl, Michael, Bunte, Kerstin, Hammer, Barbara, IEEE Computational Intelligence Society   +3 more
core   +2 more sources

Dimensionality reduction for visualizing single-cell data using UMAP

Nature Biotechnology, 2018
Advances in single-cell technologies have enabled high-resolution dissection of tissue composition. Several tools for dimensionality reduction are available to analyze the large number of parameters generated in single-cell studies. Recently, a nonlinear
E. Becht, Leland McInnes, John Healy, C. Dutertre, Immanuel Kwok, L. Ng, F. Ginhoux, E. Newell   +7 more
semanticscholar   +1 more source

Effective and efficient approach in IoT Botnet detection

Jurnal Ilmiah SINERGI, 2023
Internet of Things (IoT) technology presents an advantage to daily life, but this advantage is not a guarantee of security. This is because cyber-attacks, such as botnets, remain a threat to the user.
Susanto Susanto, Deris Stiawan, M. Agus Syamsul Arifin, Mohd. Yazid Idris, Rahmat Budiarto   +4 more
doaj   +1 more source

Uniform Manifold Approximation and Projection (UMAP) Reveals Composite Patterns and Resolves Visualization Artifacts in Microbiome Data

mSystems, 2021
Microbiome data are sparse and high dimensional, so effective visualization of these data requires dimensionality reduction. To date, the most commonly used method for dimensionality reduction in the microbiome is calculation of between-sample microbial ...
George Armstrong, Cameron Martino, Gibraan Rahman, Antonio Gonzalez, Yoshiki Vázquez-Baeza, Gal Mishne, Rob Knight   +6 more
doaj   +1 more source