Gaussian Process Constrained Spectral Clustering
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Resource Overview
Implementation code for "Constrained Spectral Clustering through Gaussian Process" by Lu Zhengdong from CVPR 2008, featuring directly executable algorithm with two demonstration examples
Detailed Documentation
This paper by Lu Zhengdong presents a constrained spectral clustering algorithm based on Gaussian Processes, accompanied by directly runnable implementation code. The algorithm includes two practical demonstration examples that illustrate its application and help users understand the methodology. The implementation provides complete MATLAB code for constrained spectral clustering using Gaussian Process priors, featuring key functions for handling pairwise constraints and optimizing cluster assignments through probabilistic modeling. The code structure includes modules for constraint processing, similarity matrix construction, and spectral embedding with Gaussian Process regularization.
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