Vous suivez désormais cette soumission
- Les mises à jour seront visibles dans votre flux de contenu suivi
- Selon vos préférences en matière de communication il est possible que vous receviez des e-mails
As suggested by the title, the valley seeking algorithm attempts to locate inter-cluster
boundaries in valleys, i.e., regions of minimal object density. Starting with an initial cluster
assignment, it iteratively reassigns objects according to a voting rule. The algorithm
terminates when an iteration produces no reassignments.
In each iteration each object is assigned to a new cluster based on the votes of its
neighbors, i.e., objects within a Euclidean distance less than or equal to a specied radius.
Each neighbor votes for the cluster to which it is currently assigned. Thus if a majority of
its neighbors are currently assigned to cluster m, then the object is assigned to cluster m
for the next round.
Citation pour cette source
Warren Koontz (2026). Clustering Algorithm Based On Valley Seeking (https://fr.mathworks.com/matlabcentral/fileexchange/57368-clustering-algorithm-based-on-valley-seeking), MATLAB Central File Exchange. Extrait(e) le .
Catégories
En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et MATLAB Answers
Informations générales
- Version 1.2.0.0 (170 ko)
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.2.0.0 | Upload correct file for bug fix. |
||
| 1.1.0.0 | Bug fix to avoid leaving isolated objects out of graph structure. |
||
| 1.0.0.0 | Minor change in pdf document |
