You are here: Wiki>AI_GEOSTATS Web>AI_GEOSTATSSoftware>SoftwarePoints>SWNEM (20 Aug 2010, TheresiaFreska)Edit Attach

NEM 1.08

Below is the detail information:

DEVELOPED 1996-1998
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
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.
Tags:
create new tag
, view all tags
Edit  | Attach | Print version | History: r4 < r3 < r2 < r1 | Backlinks | View wiki text | Edit wiki text | More topic actions
Topic revision: r3 - 20 Aug 2010, TheresiaFreska
Legal Notice | Privacy Statement

This site is powered by FoswikiCopyright © by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding Wiki? Send feedback