Feature selection strategies for classifying high dimensional astronomical data sets (original) (raw)
Related papers
Feature Selection Applied to Data from the Sloan Digital Sky Survey
Lecture Notes in Computer Science, 2010
Monthly Notices of the Royal Astronomical Society, 2016
Astronomy and Computing, 2018
2019
The Astrophysical Journal, 2011
Classification by Boosting Differences in Input Vectors: An application to datasets from Astronomy
Automated supervised classification of variable stars
Astronomy and Astrophysics, 2009
Automatic Survey-invariant Classification of Variable Stars
The Astrophysical Journal, 2017
Feature Selection Using Typical Testors Applied to Estimation of Stellar Parameters
Computación y Sistemas, 2004
IEEE Computational Intelligence Magazine, 2014
Automated supervised classification of variable stars in the CoRoT programme
2009
On Machine-Learned Classification of Variable Stars with Sparse and Noisy Time-Series Data
The Astrophysical Journal, 2011
Scientific Data Mining in Astronomy
Multivariate Approaches to Classification in Extragalactic Astronomy
Towards an automated classification of transient events in synoptic sky surveys
Intelligent Astrophysics, 2021
Unsupervised Classification of Galaxies. I. Independent Component Analysis Feature Selection
Publications of the Astronomical Society of the Pacific
Efficient Astronomical Data Classification on Large-Scale Distributed Systems
2010
Towards real-time classification of astronomical transients
2008
Supervised Star Classification System for the OMC Archive
Astrophysics and Space Science Proceedings, 2010
The S-PLUS: a star/galaxy classification based on a Machine Learning approach
arXiv: Astrophysics of Galaxies, 2019
Data challenges of time domain astronomy
Distributed and Parallel Databases, 2012
Machine-Learning Identification of Extragalactic Objects in the Optical-Infrared All-Sky Surveys
2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)
Classification of variable objects in LINEAR using Hipparcos variable stars
J-PLUS: Support vector machine applied to STAR-GALAXY-QSO classification
Astronomy & Astrophysics, 2022
Advances in Machine Learning and Data Mining for Astronomy
2012
DATA MINING AND MACHINE LEARNING IN ASTRONOMY
A Classifier to Detect Elusive Astronomical Objects through Photometry
Monthly Notices of the Royal Astronomical Society
Profiling Astronomical Objects Using Unsupervised Learning Approach
Computers, Materials & Continua
Fully Automated Approaches to Analyze Large-Scale Astronomy Survey Data
2009