Cluster analysis for symbolic interval data using linear regression method
Symbolic data records are becoming a more powerful instrument to deal with large size data sets. Interval-valued data are a special type of symbolic data, for which each observation is a vector of intervals. The typical K-means methods for interval-valued data suppose the data separate to spherical...
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Format: | Doctoral or Postdoctoral Thesis |
Language: | English |
Published: |
uga
2016
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Online Access: | http://hdl.handle.net/10724/36237 http://purl.galileo.usg.edu/uga_etd/liu_fei_201605_phd |