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Parallel Spectral Clustering in Distributed Systems

Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih‐Jen Lin et al. • IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)

Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms, such as k-means. However, spectral clustering suffers from a scalability problem in both memory use and computational ...

OPENALEX DOI: https://doi.org/10.1109/tpami.2010.88

DATA MINING AND MACHINE LEARNING IN ASTRONOMY

Nicholas M. Ball, Robert J. Brunner • International Journal of Modern Physics D (2010)

We review the current state of data mining and machine learning in astronomy. Data Mining can have a somewhat mixed connotation from the point of view of a researcher in this field. If used correctly, it can be a powerful approach, holding ...

OPENALEX Open Access DOI: https://doi.org/10.1142/s0218271810017160