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
Reinforcement Learning ML
Learning optimal decisions through environment interaction
Support Vector Machine
Finding optimal hyperplane to separate classes with max margin
Precision Recall
Metrics measuring positive prediction quality and coverage
Feature Selection
Identifying the most relevant features for model training
Regularization
Techniques constraining model complexity to prevent overfitting
Loss Function
Math function measuring prediction vs actual value difference