Difference: SWNEM (2 vs. 3)

Revision 32010-08-20 - TheresiaFreska

 
META TOPICPARENT name="SoftwarePoints"

NEM 1.08

Below is the detail information:

DEVELOPED 1996-1998
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AUTHOR Mo Van Dang
Laboratoire Heudiasyc
UMR CNRS 6599
Université de Technologie de Compiègne
B.P. 20529, 60205 Compiègne
FRANCE

van.mo.dang@utc.fr
www.hds.utc.fr/~mdang/
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AUTHOR Mo Van Dang
Laboratoire Heudiasyc
UMR CNRS 6599
Université de Technologie de Compiègne
B.P. 20529, 60205 Compiègne
FRANCE

van.mo.dang(at)utc.fr
www.hds.utc.fr/~mdang/- link is broken, will be checked soon
 
PLATFORM WINDOWS
PURPOSE Program for spatial classification
FUNCTIONS nem_exe computes a partition of a given set of objects described by one or several numeric variables. Some of the variables may be the geographic position of the object. This algorithm is derived from the EM algorithm applied to mixture distributions. Its new feature consists in taking into account spatial interdependance between the objects.

It may be used for:
  • unsupervised segmentation of color or gray-level images (points = pixel values, geographic position = pixel coordinates) ;
  • clustering of spatial data like socio-economical activities of neighbouring counties, etc.
The algorithm takes as input an objects-variables table, and a specification of the neighborhood relationship between the objects. It produces as output a fuzzy or a hard partition of the objects.
CODES C codes available
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TIP PhD thesis available from
www.hds.utc.fr/~mdang/Refs/dang98these.ps.gz
HOMEPAGE Home: www.hds.utc.fr/~mdang/Progs/prognem.html
Reference: Ambroise, C., V.M. Dang and G. Govaert (1996). Clustering of Spatial Data by the EM Algorithm. geoENV96 Proceedings.
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TIP PhD thesis available from
www.hds.utc.fr/~mdang/Refs/dang98these.ps.gz- link is broken, will be checked soon
HOMEPAGE Home: www.hds.utc.fr/~mdang/Progs/prognem.html- link is broken, will be checked soon
Reference: Ambroise, C., V.M. Dang and G. Govaert (1996). Clustering of Spatial Data by the EM Algorithm. geoENV96 Proceedings.
 
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