Novel Spectral Clustering Algorithm for Data Classification

Advanced spectral clustering-based algorithm designed for time series data clustering and image segmentation applications, accompanied by comprehensive documentation and implementation guidelines. This method utilizes eigenvalue decomposition of similarity matrices to transform complex data structures into separable clusters through Laplacian matrix transformations.