PCA Predictor TODO
Labels / Tags
- Predictor
- Dimension reduction
Principle
Project queries onto reduced space of dimension d given the PCAModel obtains from PCA dimension reduction algorithm.
Scalability
The computational complexity for a $d$ dimentional query and the d\ x\ p matrix PCAModel
Input
Single query
A numerical vector value.
Multiple queries, i.e collection of data observations
A collection of numerical vector value.
Parameters
1 : KMeansModel
KMeansModel contains the list of prototypes returned by KMeans algorithm.
Output
Single query
Returns the ClusterId of the closest $K$MeansModel prototype.
Multiple queries, i.e. a collection of queries of numerical vectors
Returns the HardClustering associates to input data.
Associate visualizations
- HardClustering