Common Section Templates
It gathers writting samples that are common in many documentation files with the list of linked algorithms.
Be sure that when you made an upgrade on a referenced sample from this file, it is update on every other linked ones.
Input
For algorithms working on any type of data.
A collection of values of same type from usal one to any other one as long as associated dissimilarity measure exists.
Currently supported types are :
- Numerical vector
- Binary vector
- Mixed Vector
- Monovariate time series
- Multivariate time series
Linked documentations
- Ball Hall
- Davis Bouldin
- Silhouette
- Agglomerative hierarchical clustering
- Divisive hierarchical clustering
- DBScan
- Epsilon Proximity
- Canopy
- $K$-Centers
- Local Area
- Gradient Ascent
- CBLOF
- $K$NN HardClustering Predictor
- $K$NN CategoricalClustering Predictor
- $K$NN Predictor
- Closest Prototype Predictor