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Vecinos más cercanos

k clasificación de vecinos más cercano usando Kd-Tree Search

Para entrenar a un modelo de vecinos más cercano a k, use la aplicación Estudiante de clasificación. Para mayor flexibilidad, entrene un modelo de vecinos kusando fitcknn en la interfaz de línea de comandos. Después del entrenamiento, predecir las etiquetas o estimar las probabilidades posteriores pasando el modelo y los Datos predictores a predict.

Aplicaciones

Estudiante de clasificación

Train models to classify data using supervised machine learning

Funciones

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Crear modelo vecino más cercano

fitcknn Fit k-nearest neighbor classifier

Crear buscador de vecinos más cercano

`ExhaustiveSearcher`	Create exhaustive nearest neighbor searcher
`KDTreeSearcher`	Create Kd-tree nearest neighbor searcher
`createns`	Create nearest neighbor searcher object

Validación cruzada

`crossval`	Cross-validated k-nearest neighbor classifier
`kfoldEdge`	Classification edge for observations not used for training
`kfoldLoss`	Classification loss for observations not used for training
`kfoldfun`	Cross validate function
`kfoldMargin`	Classification margins for observations not used for training
`kfoldPredict`	Predict response for observations not used for training

Medir el rendimiento

`loss`	Loss of k-nearest neighbor classifier
`resubLoss`	Loss of k-nearest neighbor classifier by resubstitution
`compareHoldout`	Compare accuracies of two classification models using new data
`edge`	Edge of k-nearest neighbor classifier
`margin`	Margin of k-nearest neighbor classifier
`resubEdge`	Edge of k-nearest neighbor classifier by resubstitution
`resubMargin`	Margin of k-nearest neighbor classifier by resubstitution

Clasificar observaciones

`predict`	Predict labels using k-nearest neighbor classification model
`resubPredict`	Predict resubstitution response of k-nearest neighbor classifier

Funciones relacionadas

`pdist`	Pairwise distance between pairs of observations
`pdist2`	Pairwise distance between two sets of observations

Objetos

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Modelos de clasificación vecinas más cercanas

`ClassificationKNN`	k-nearest neighbor classification
`ClassificationPartitionedModel`	Cross-validated classification model

Temas

Train Nearest Neighbor Classifiers Using Classification Learner App

Create and compare nearest neighbor classifiers, and export trained models to make predictions for new data.

Visualize Decision Surfaces of Different Classifiers

This example shows how to visualize the decision surface for different classification algorithms.

Supervised Learning Workflow and Algorithms

Understand the steps for supervised learning and the characteristics of nonparametric classification and regression functions.

Classification Using Nearest Neighbors

Categorize data points based on their distance to points in a training data set, using a variety of distance metrics.