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Image Classification

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1. Some Basis of ML

2. KNN

k - Nearest Neighbor Classifier

2.1 Pros and Cons

Pros:

  • easy to build
  • may sometimes be a good choice in some settings (especially if the data is low-dimensional)

Cons:

  • too slow to get the result of tests

2.2 Promotion

  • Approximate Nearest Neighbor (ANN)
  • k-means

Last update: June 16, 2023
Authors: Colin