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Methods for compression and classification of galaxy spectra, which areuseful for large galaxy redshift surveys (such as the SDSS, 2dF, 6dF andVIRMOS), are reviewed. In particular, we describe and contrast three methods:(i) Principal Component Analysis, (ii) Information Bottleneck, and (iii) FisherMatrix. We show applications to 2dF galaxy spectra and to mock semi-analyticspectra, and we discuss how these methods can be used to study physicalprocesses of galaxy formation, clustering and galaxy biasing in the new largeredshift surveys.Comment: Review talk, proceedings of MPA/MPE/ESO Conference "Mining the Sky",  2000, Garching, Germany; 20 pages, 5 figure

Compression and Classification Methods for Galaxy Spectra in Large Redshift Surveys