A spectral clustering method for three-way data using an INDSCAL-type approach is introduced. Our proposal takes into account the single geometrical structures for each occasion and returns a common low-dimensional space which is representative for all occasions. Finally, a real application to three-way data is presented to illustrate the potential of the method.
An INDSCAL-type approach for three-way spectral clustering / Di Nuzzo, Cinzia; Ingrassia, Salvatore; Vicari, Donatella. - (2023), pp. 128-135. - ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING. [10.1007/978-3-031-15509-3_17].
An INDSCAL-type approach for three-way spectral clustering
Di Nuzzo, Cinzia
;Ingrassia, Salvatore;Vicari, Donatella
2023
Abstract
A spectral clustering method for three-way data using an INDSCAL-type approach is introduced. Our proposal takes into account the single geometrical structures for each occasion and returns a common low-dimensional space which is representative for all occasions. Finally, a real application to three-way data is presented to illustrate the potential of the method.File allegati a questo prodotto
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