Tag: dimensionality reduction

Registration has opened for the SIAM Conference on Mathematics of Data Science, MDS26, which will convene researchers from academia, industry, ...

A new three-stage algorithm called FS-GSR combines graph-based scoring with sparse reconstruction to select compact, high-performing feature subsets from high-dimensional ...

Researchers at IIT (ISM) Dhanbad have developed scDEAN, a lightweight deep clustering framework that adaptively fuses gene expression and cellular ...

A new unsupervised deep learning framework called SaDGAE uses a self-adaptive cell graph and a doubly enhanced graph autoencoder to ...

Brazilian researchers show that hyperspectral reflectance combined with machine learning can identify soybean rust and target spot and grade their ...

Researchers have developed an enhanced convolutional autoencoder that compresses axial temperature fields in a gas-oxygen/gas-methane rocket igniter by up to ...

Researchers in Spain have unveiled a data reduction method combining self-organizing maps and permutation importance that shrinks banking datasets by ...

Researchers at Manipur University have developed EF²RB, an ensemble feature selection framework that boosts IoT intrusion detection accuracy to between ...

A new Nature Neuroscience study shows that olfactory learning reshapes the low-dimensional neural manifolds storing odor memories, optimizing their geometry ...

Researchers have introduced Joint-RPCA, a fast and accurate computational method that jointly integrates sparse, compositional multi-omics microbiome data to reveal ...