Details

Autor(en) / Beteiligte

• Ma, Zhiliang
• Cardinal-Stakenas, Adam
• Park, Youngser
• Trosset, Michael W.
• Priebe, Carey E.

Titel

Dimensionality Reduction on the Cartesian Product of Embeddings of Multiple Dissimilarity Matrices

Ist Teil von

• Journal of classification, 2010-11, Vol.27 (3), p.307-321

Ort / Verlag

New York: Springer-Verlag

Erscheinungsjahr

2010

Link zum Volltext

Quelle

SpringerLink

Beschreibungen/Notizen

• We consider the problem of combining multiple dissimilarity representations via the Cartesian product of their embeddings. For concreteness, we choose the inferential task at hand to be classification. The high dimensionality of this Cartesian product space implies the necessity of dimensionality reduction before training a classifier. We propose a supervised dimensionality reduction method, which utilizes the class label information, to help achieve a favorable combination. The simulation and real data results show that our approach can improve classification accuracy compared to the alternatives of principal components analysis and no dimensionality reduction at all.