Clusterability and centroid approximation.
- Authors
- Romero, Alina
- Format
- MasterThesis
- Status
- publishedVersion
- Description
Identifying clusters in a dataset is valuable. Most existing data clustering algorithms need the number of clusters as an input. The present thesis introduces a graphical method that outputs the number of clusters. Once the number of clusters is calculated, other clustering algorithms may use it.
- Publication Year
- 2002
- Language
- eng
- Topic
- CLUSTER ANALYSIS
RELATED WORK
CLUSTERABILITY ALGORITHMS
TIME SERIES
- Repository
- Repositorio SENESCYT
- Rights
- openAccess
- License
- openAccess