Machine Learning
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K-Nearest Neighbors
Quick Definition
Classifying based on majority class of k nearest neighbors
Full Definition
A non-parametric algorithm classifying new points based on the majority class of their k nearest neighbors.
Examples
recommendation systems, pattern recognition, imputation
Related Terms
instance-learning
classification
clustering
More Machine Learning Terms
Feature Engineering
Creating and transforming input variables to improve performance
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
Feature Selection
Identifying the most relevant features for model training
A/B Testing
Statistical method comparing two versions for performance
Ensemble Learning
Combining multiple models for better predictions
Imbalanced Learning
Handling datasets with unequal class distributions