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Algorithms and applications for approximate nonnegative matrix factorization

2008-06-18T15:27:31-00:00

Computational Statistics & Data Analysis, Vol. 52, No. 1. (15 September 2007), pp. 155-173, doi:10.1016/j.csda.2006.11.006

The development and use of low-rank approximate nonnegative matrix factorization (NMF) algorithms for feature extraction and identification in the fields of text mining and spectral data analysis are presented. The evolution and convergence properties of hybrid methods based on both sparsity and smoothness constraints for the resulting nonnegative matrix factors are discussed. The interpretability of NMF outputs in specific contexts are provided along with opportunities for future work in the modification of NMF algorithms for large-scale and time-varying data sets.
Michael Berry, Murray Browne, Amy Langville, Paul Pauca, Robert Plemmons



Geotracker: geospatial and temporal RSS navigation

2008-03-31T19:58:21-00:00

In WWW '07: Proceedings of the 16th international conference on World Wide Web (2007), pp. 41-50, doi:10.1145/1242572.1242579
Yih-Farn Chen, Giuseppe Di Fabbrizio, David Gibbon, Serban Jora, Bernard Renger, Bin Wei



RSS as a distribution medium for geo-spatial hypermedia

2008-03-31T19:54:18-00:00

In HYPERTEXT '05: Proceedings of the sixteenth ACM conference on Hypertext and hypermedia (2005), pp. 254-256, doi:10.1145/1083356.1083410
Frank Hansen, Bent Christensen, Niels Bouvin