Feature selection and feature extraction in pattern analysis: A literature review
B Ghojogh, MN Samad, SA Mashhadi, T Kapoor… - ar**.pdf" data-clk="hl=en&sa=T&oi=gga&ct=gga&cd=5&d=6970199345304059902&ei=h3usZ7njHJuoieoP4-_VmAI" data-clk-atid="_j-C9l8fu2AJ" target="_blank">[PDF] rug.nl
A general framework for dimensionality-reducing data visualization map**
In recent years, a wealth of dimension-reduction techniques for data visualization and
preprocessing has been established. Nonparametric methods require additional effort for …
preprocessing has been established. Nonparametric methods require additional effort for …
Predicting financial distress in the Indian banking sector: A comparative study between the logistic regression, LDA and ANN models
Financial distress is a socially and economically significant issue that affects almost every
firm across the world. Predicting financial distress in the banking industry can substantially …
firm across the world. Predicting financial distress in the banking industry can substantially …
Deepview: Visualizing classification boundaries of deep neural networks as scatter plots using discriminative dimensionality reduction
Machine learning algorithms using deep architectures have been able to implement
increasingly powerful and successful models. However, they also become increasingly more …
increasingly powerful and successful models. However, they also become increasingly more …
Dimensionality reduction for data visualization [applications corner]
Dimensionality reduction is one of the basic operations in the toolbox of data analysts and
designers of machine learning and pattern recognition systems. Given a large set of …
designers of machine learning and pattern recognition systems. Given a large set of …
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data
Due to the tremendous increase of electronic information with respect to the size of data sets
as well as their dimension, dimension reduction and visualization of high-dimensional data …
as well as their dimension, dimension reduction and visualization of high-dimensional data …