Detecting outliers and learning complex structures with large spectroscopic surveys - a case study with APOGEE stars
Sign Up to like & getrecommendations! Published in 2017 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/sty348
Abstract: In this work we apply and expand on a recently introduced outlier detection algorithm that is based on an unsupervised random forest. We use the algorithm to calculate a similarity measure for stellar spectra from… read more here.
Keywords: similarity measure; similarity; outliers learning; detecting outliers ... See more keywords
Qualitative Data Clustering to Detect Outliers
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DOI: 10.3390/e23070869
Abstract: Detecting outliers is a widely studied problem in many disciplines, including statistics, data mining, and machine learning. All anomaly detection activities are aimed at identifying cases of unusual behavior compared to most observations. There are… read more here.
Keywords: detecting outliers; qualitative data; number; data clustering ... See more keywords