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KNN

Helpful examples of using k-Nearest Neighbors (KNN) machine learning algorithms in scikit-learn.

The k-Nearest Neighbors algorithm is a simple, instance-based learning method used for both classification and regression tasks.

It operates by identifying the k closest data points (neighbors) to a given query point based on a distance metric, typically Euclidean distance.

In classification, the algorithm assigns the class label that is most common among the k neighbors. In regression, it predicts the value based on the average of the k nearest neighbors’ values.

KNN is non-parametric and lazy, meaning it makes no assumptions about the data distribution and delays computation until a query is made.

This simplicity and ease of implementation make k-NN effective for small datasets, but it can be computationally intensive and less effective with large or high-dimensional data due to the cost of distance calculations and the curse of dimensionality.

ExamplesTags
Configure KNeighborsClassifier "algorithm" Parameter
Configure KNeighborsClassifier "leaf_size" Parameter
Configure KNeighborsClassifier "metric_params" Parameter
Configure KNeighborsClassifier "metric" Parameter
Configure KNeighborsClassifier "n_jobs" Parameter
Configure KNeighborsClassifier "n_neighbors" Parameter
Configure KNeighborsClassifier "p" Parameter
Configure KNeighborsClassifier "weights" Parameter
Configure KNeighborsRegressor "algorithm" Parameter
Configure KNeighborsRegressor "leaf_size" Parameter
Configure KNeighborsRegressor "metric_params" Parameter
Configure KNeighborsRegressor "metric" Parameter
Configure KNeighborsRegressor "n_jobs" Parameter
Configure KNeighborsRegressor "n_neighbors" Parameter
Configure KNeighborsRegressor "p" Parameter
Configure KNeighborsRegressor "weights" Parameter
Scikit-Learn "KNeighborsClassifier" versus "KNeighborsRegressor"
Scikit-Learn GridSearchCV KNeighborsClassifier
Scikit-Learn GridSearchCV KNeighborsRegressor
Scikit-Learn GridSearchCV NearestCentroid
Scikit-Learn GridSearchCV RadiusNeighborsClassifier
Scikit-Learn GridSearchCV RadiusNeighborsRegressor
Scikit-Learn KernelDensity Model
Scikit-Learn KNeighborsClassifier Model
Scikit-Learn KNeighborsRegressor Model
Scikit-Learn KNNImputer for Data Imputation
Scikit-Learn LocalOutlierFactor Model
Scikit-Learn NearestCentroid Model
Scikit-Learn RadiusNeighborsClassifier Model
Scikit-Learn RadiusNeighborsRegressor Model
Scikit-Learn RandomizedSearchCV KNeighborsClassifier
Scikit-Learn RandomizedSearchCV KNeighborsRegressor
Scikit-Learn RandomizedSearchCV NearestCentroid