The K-Nearest Neighbors Algorithm
A non-parametric, supervised learning method used for classification and regression tasks that operates on the principle of similarity, predicting the label or value of a new data point by considering its K closest neighbors in the dataset.
Areas of application
- Classification
- Regression
- Anomaly detection
- Clustering
Example
For example, if you are trying to predict the price of a house based on its features, you could use the KNN algorithm to find the K nearest houses in the database that have similar features and then average their prices to make a prediction for the new house.