Program to demonstrate KNN and KMeans Clustering by applying on a multi class data set.
The data used is: Dry Beans Dataset.
The data set can be retrieved from: https://archive.ics.uci.edu/ml/datasets/Dry+Bean+Dataset
✔️ K nearest neighbour
✔️ K means clustering
✔️ For K-means clustering clustering quality is being measured using Davies Bouldin Index
✔️ Visualization of data after clustering using matplotlib
✔️ Showing results using :
- Accuracy
- Precision
- Recall
- F1 Measure