An INDSCAL-Type Approach for Three-Way Spectral Clustering
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-15509-3_17
Reference12 articles.
1. Bavaud, F.: Spectral clustering and multidimensional scaling: a unified view. In: Batagelj, V., Bock, H.H., Ferligoj, A., Žiberna, A. (eds.) Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization, pp. 131–139. Springer, Heidelberg (2006). https://doi.org/10.1007/3-540-34416-0_15
2. Borg, I., Gröenen, P.J.F.: Modern Multidimensional Scaling: Theory and Applications, 2nd edn. Springer, New York (2005). https://doi.org/10.1007/0-387-28981-X
3. Calinski, T., Harabasz, J.: A dendrite method for cluster analysis. Commun. Stat. 3, 1–27 (1974)
4. Carroll, J.D., Chang, J.J.: Analysis of individual differences in multidimensional scaling via an N-generalization of the Eckart-Young decomposition. Psychometrika 35, 283–319 (1970)
5. Di Nuzzo, C., Ingrassia, S.: A mixture model approach to spectral clustering and application to textual data. Stat. Methods Appl. (2022). https://doi.org/10.1007/s10260-022-00635-4
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