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
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
LightGBM
Fast gradient boosting framework using histogram splitting
K-Means
Partitioning data into k clusters by updating centroids
Online Learning
Updating models incrementally as new data arrives
Backpropagation
Algorithm computing gradients for neural network weight updates
Lasso Regression
Regularized regression using L1 penalty for feature selection