Results 31 to 40 of about 8,013,557 (321)
Haisu: Hierarchically supervised nonlinear dimensionality reduction.
We propose a novel strategy for incorporating hierarchical supervised label information into nonlinear dimensionality reduction techniques. Specifically, we extend t-SNE, UMAP, and PHATE to include known or predicted class labels and demonstrate the ...
Kevin Christopher VanHorn +1 more
doaj +1 more source
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
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A Comparison for Dimensionality Reduction Methods of Single-Cell RNA-seq Data
Single-cell RNA sequencing (scRNA-seq) is a high-throughput sequencing technology performed at the level of an individual cell, which can have a potential to understand cellular heterogeneity.
Ruizhi Xiang +5 more
semanticscholar +1 more source
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 +12 more
doaj +1 more source
Dimensionality reduction for visualizing single-cell data using UMAP
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 +7 more
semanticscholar +1 more source
Effective and efficient approach in IoT Botnet detection
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 +4 more
doaj +1 more source
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
Dynamics of dimensional reduction
In d-dimensional unified theories that, along with gravity, contain an antisymmetric tensor field of rank s-1, preferential compactification of d-s or of s space-like dimensions is found to occur. This is the case in 11-dimensional supergravity where s = 4.
Peter G.O. FREUND, Mark A. RUBIN
openaire +1 more source
Spontaneous dimensional reduction? [PDF]
To appear in Proc.
openaire +2 more sources
MultiMAP: dimensionality reduction and integration of multimodal data
Multimodal data is rapidly growing in many fields of science and engineering, including single-cell biology. We introduce MultiMAP, a novel algorithm for dimensionality reduction and integration.
M. S. Jain +12 more
semanticscholar +1 more source

