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Visual data mining for quantized spatial dataIn 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.
Document ID
20060046269
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Braverman, Amy
Kahn, Brian
Date Acquired
August 23, 2013
Publication Date
August 1, 2004
Meeting Information
Meeting: COMPSTAT 2004, The 16th Symposium of IASC
Location: Prague
Country: Czech Republic
Start Date: August 23, 2004
Distribution Limits
Public
Copyright
Other
Keywords
cluster analysis
multivariate visualization
massive data sets

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