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Nearest-Neighbor Classifier in Artificial intelligence

Posted on December 9, 2021December 9, 2021 By christo No Comments on Nearest-Neighbor Classifier in Artificial intelligence

Nearest-Neighbor Classifiers requires three things

  • The set of stored records
  • Distance Metric to compute distance between records
  • The value of k, the number of nearest neighbors to retrieve

To classify an unknown record:

  • Compute distance to other training records
  • Identify k nearest neighbors
  • Use class labels of nearest neighbors to determine the class label of unknown record (e.g., by taking majority vote)
Nearest-Neighbor Classifiers
Nearest-Neighbor Classifiers

Table of Contents

  • Definition of Nearest Neighbor
  • 1-nearest-neighbor
  • Nearest Neighbor Classification
    • Compute distance between two points:

Definition of Nearest Neighbor

Nearest Neighbor
Nearest Neighbor

K-nearest neighbors of a record x are data points that have the k smallest distance to x

1-nearest-neighbor

Voronoi Diagram
Voronoi Diagram

Nearest Neighbor Classification

Compute distance between two points:

  • Euclidean distance
Euclidean distance
Euclidean distance
  • Manhatten distance
Manhatten distance
Manhatten distance
  • q norm distance
q norm distance
q norm distance
Artificial intelligence Tags:Artificial intelligence, Nearest-Neighbor Classifier in Artificial intelligence

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