Eigenvalue based spectral classification.
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- Record sourced from PubMed, PMID 37023089.
- Also identified by DOI 10.1371/journal.pone.0283413 and PMC identifier 10079090.
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Abstract
This paper describes a new method of classification based on spectral analysis. The motivations behind developing the new model were the failures of the classical spectral cluster analysis based on combinatorial and normalized Laplacian for a set of real-world datasets of textual documents. Reasons of the failures are analysed. While the known methods are all based on usage of eigenvectors of graph Laplacians, a new classification method based on eigenvalues of graph Laplacians is proposed and studied.
Medical subject headings
- Algorithms