Spectral Clustering and Multidimensional Scaling: A Unified View

By François Bavaud. 2006

4 citations recorded by the source corpus.

Subfields: Food Science, Statistical and Nonlinear Physics, Signal Processing

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Citations in the corpus

• On the Schoenberg Transformations in Data Analysis: Theory and Illustrations (2010, positive): “As a matter of fact, the choice of the origin a and the choice of the object weights f constitute two distinct operations, as made explicit by the following generalization of classical MDS (Cuadras and Fortiana 1996; Bavaud 2006, 2009): is p.d.”
• Aggregation invariance in general clustering approaches (2009, methodology): “3.1 An illustration Table 1 displays a few rows (14 out of n = 55 Swiss towns) of a membership matrix Z = (zig) with m = 10 groups, resulting from thermodynamic clustering (see section 5.2) applied to a matrix of Euclidean “inter-town commuter distances” (Bavaud 2006).”