GitHub / GiatrasKon / Hyperspectral-Image-Clustering
Analysis of the Salinas hyperspectral image dataset using advanced clustering algorithms, focusing on identifying homogeneous regions in the image. Implementations of cost-function optimization and hierarchical clustering techniques, along with evaluations and visualizations in reduced-dimensional spaces.
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PURL: pkg:github/GiatrasKon/Hyperspectral-Image-Clustering
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: MATLAB
Size: 9.22 MB
Dependencies parsed at: Pending
Created at: 8 months ago
Updated at: 8 months ago
Pushed at: 8 months ago
Last synced at: 4 months ago
Topics: adjusted-rand-index, calinski-harabasz-index, clustering, data-visualization, dimensionality-reduction, fuzzy-cmeans-clustering, hierarchical-clustering, hyperspectral-imaging, image-processing, k-means-clustering, machine-learning, matlab, pca, possibilistic-clustering-algorithms, probabilistic-clustering, remote-sensing, salinas-dataset, silhouette-score, spectral-bands, unsupervised-learning