Description Usage Arguments References
Compute several quality indexes of a two group clustering. For internal use.
1 2 3 |
contrast |
the contrast value of each observations. numeric vector. REQUIRED. |
groups |
the indicator of group membership. logical vector. REQUIRED. |
W |
the neighbourhood matrix. dgCMatrix or |
sigma |
the |
breaks |
the break points to use to categorize the contrast distribution. numeric vector. |
rm.warning |
should warning be displayed. logical. |
criterion.transition |
should the boundary criterion based on the transition levels be computed ? logical. |
criterion.sdfront |
should the boundary criterion based on the standard deviation be computed ? logical. |
criterion.entropy |
should the region criterion based on the entropy be computed ? logical. |
criterion.Kalinsky |
should the region criterion based on the Kalinsky index be computed ? logical. |
criterion.Laboure |
should the region criterion based on the Laboure index be computed ? logical. |
Chantal Revol-Muller, Francoise Peyrin, Yannick Carrillon and Christophe Odet. Automated 3D region growing algorithm based on an assessment function. Pattern Recognition Letters, 23:137-150,2002.
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