A machine learning pipeline that generates categorized sentences, converts them to vector embeddings using OpenAI, and applies K-Means clustering and KNN classification with beautiful visualizations.

1 School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China 2 Department of Mechanical and Electrical Engineering, Henan Vocational College of ...

Classifying corn varieties presents a significant challenge due to the high-dimensional characteristics of hyperspectral images and the complexity of feature extraction, which hinder progress in ...

Microsoft Deployment Toolkit is designed to streamline the deployment of Windows operating systems, applications, and configurations across multiple devices. If you want to capture Windows Image using ...

This project demonstrates how to build an image classification model using Convolutional Neural Networks (CNNs) to classify images into predefined categories. It covers data preprocessing, model ...

Abstract: The key of image recognition and classification based on machine learning is to extract image feature points effectively and classify image features correctly. In this paper, SURF ...

Abstract: Traditional joint sparse representation based hyperspectral classification methods define a local region for each pixel. Through representing the pixels within the local region ...