This project was created as a part of the subject: Narzędzia sztucznej inteligencji
This project was made to implement and learn the k-nearest neighbours algorithm (k-NN) .
This programme can be used to classify any given training and testing data set.
Inisde the IMPORT/
you can find widely know AI traning data set, Iris flower data set.
- K - number of neighbours to classify for
You can also enter flower for single classification.
- Java installed
- Open terminal
- Go to
Artifacts/
- Type
java -jar Iris_k-NN.jar