Hyperspectral imaging (HSI) captures rich spectral data across hundreds of contiguous bands for diverse applications. Dimension reduction (DR) techniques are commonly used to map the first three ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

In order for refit and predict to work properly, dimensionality reduction must be included in the sklearn Pipeline. I am currently wrapping up input and output Pipelines (which represent the ...

Breast reduction is all the rage in cosmetic surgery. Are women asserting their independence or capitulating to yet another impossible standard of beauty? Credit...Maggie Shannon for The New York ...

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research ...

1 College of Mathematics and System Sciences, Xinjiang University, Ürümqi, China 2 Key Lab of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, ...

Abstract: The purpose of this study is to research and explore the Data Dimension, and propose the data feature & selection of dimensionality reduction technique, in order to help users understand the ...