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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2014/37939
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| Title: | Visual data mining for quantized spatial data |
| Authors: | Braverman, Amy
Kahn, Brian |
| Keywords: | massive data sets
cluster analysis
multivariate visualization |
| Issue Date: | Aug-2004 |
| Publisher: | Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2004. |
| Citation: | COMPSTAT 2004, The 16th Symposium of IASC, Prague, Czech Republic, August 23, 2004 |
| Abstract: | In previous papers we've shown how a well known data compression algorithm called Entropy-constrained Vector Quantization ( can be modified to reduce the size and complexity of very large, satellite data sets. In this paper, we descuss how to visualize and understand the content of such reduced data sets. |
| URI: | http://hdl.handle.net/2014/37939 |
| Appears in Collections: | JPL TRS 1992+
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