Abstract: This paper introduces a codebook-based trellis-coded quantization (TCQ) approach utilizing K-means clustering, designed specifically for massive multiple-input multiple-output systems. The ...
This project provides a Python-based toolkit for tracking and analyzing the actuation of cantilever beams from video data. It leverages OpenCV and scientific Python libraries to extract quantitative ...
Abstract: This study explores how beer consumers are classified in Europe. By using the K-means clustering method, the aim is to uncover patterns in consumption habits and preferences based on ...
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