Description: psc-knn-python

Implement a prototype selection method which is based on clustering (PSC) and apply it in a classification problem using k-NN

Pileline draft:

This project contains:

1. PSC - Prototype selection based on Clustering

• Dataset -> PSC -> Subset data

2. Target: create subset prototypes of input dataset represent for cluster

• Purpose: reduce cost of computation when classify (next step) and increase accuracy.

3. k-NN - k-Nearest Neighbours classifier

• Target: can classify new sample by using k-nn Algo