Categories: AI/ML Research

K-Nearest Neighbors Classification Using OpenCV

The OpenCV library comes with a module that implements the k-Nearest Neighbors algorithm for machine learning applications. In this tutorial, you are going to learn how to apply OpenCV’s k-Nearest Neighbors algorithm for the task of classifying handwritten digits. After completing this tutorial, you will know: Several of the most important characteristics of the k-Nearest […]

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K-Means Clustering for Image Classification Using OpenCV

In a previous tutorial, we have explored the use of the k-means clustering algorithm as an unsupervised machine learning technique that seeks to group similar data into distinct clusters, to uncover patterns in the data. We have, so far, seen how to apply the k-means clustering algorithm to a simple…

November 1, 2023

In "AI/ML Research"

K-Means Clustering in OpenCV and Application for Color Quantization

The k-means clustering algorithm is an unsupervised machine learning technique that seeks to group similar data into distinct clusters, with the aim of uncovering patterns in the data that may not be apparent to the naked eye. It is possibly the most widely known algorithm for data clustering, and it…

October 27, 2023

In "AI/ML Research"

Random Forest for Image Classification Using OpenCV

The Random Forest algorithm forms part of a family of ensemble machine learning algorithms and is a popular variation of bagged decision trees. It also comes implemented in the OpenCV library. In this tutorial, you will learn how to apply OpenCV’s Random Forest algorithm for image classification, starting with a…

December 6, 2023

In "AI/ML Research"

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