Paper:	Analysis of Digital POSS-II Catalogs Using Hierarchical Unsupervised Learning Algorithms
Volume:	101, Astronomical Data Analysis Software and Systems V
Page:	41
Authors:	Yoo, Jungsoon; Gray, Alexander; Roden, Joseph; Fayyad, Usama M.; de Carvalho, R. R.; Djorgovski, S. G.
Abstract:	We apply techniques from the field of machine learning/ artificial intelligence to the problem of inducing meaningful structure from astronomical data. \cobweb//95 is a concept formation system that accepts objects incrementally and organizes them into a classification tree. The system has been successfully applied to cluster sky objects which were derived from the SKICAT data cataloging/analysis system.

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