Iterative denoising

DOI10.1007/s00180-007-0090-8zbMath1221.62095OpenAlexW2913554408MaRDI QIDQ626230

Kendall E. Giles, Michael W. Trosset, David J. Marchette, Carey E. Priebe

Publication date: 22 February 2011

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-007-0090-8

zbMATH Keywords

text miningcluster analysismultidimensional scalingk-means clusteringdivisive hierarchical clusteriing

Mathematics Subject Classification ID

Related Items (1)

Modified hybrid discriminant analysis methods and their applications in machine learning

Uses Software

• ngram
• ARPACK

Cites Work

• Convergence of the majorization method for multidimensional scaling
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• ARPACK Users' Guide
• An Improved Spectral Graph Partitioning Algorithm for Mapping Parallel Computations
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Machine Learning: ECML 2004
• Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
• Some distance properties of latent root and vector methods used in multivariate analysis
• The principle of minimized iterations in the solution of the matrix eigenvalue problem
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