Feature Representation & Classification
Interactive visualization of feature space and k-NN classification
Interactive Simulation
Controls
Number of neighbors (k):
3
Data distribution:
Well Separated
Overlapping
Concentric
Feature Scaling:
None
Standardization
Min-Max Scaling
Generate Data
Classify New Point
Simulate Multiple Tests
Results
Classification accuracy:
-
Correct/Total:
-
Assignment
Create a dataset where feature scaling affects classification.
Compare accuracy of k-NN using original vs engineered features.
Explore effect of different values of k.
Document how the decision boundaries change with different parameters.
References
Duda, Hart & Stork - Pattern Classification
MIT OpenCourseWare - Machine Learning Lectures
Scikit-learn Documentation - kNN Classification