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    • A projection pursuit technique to reduce the dimensionality of a data set preserving the clustering structure is proposed. It is based on Silverman’s (J R Stat Soc B 43:97–99, 1981) critical bandwidth.We show that critical bandwidth is scale equivariant and this property allows us to keep affine invariance of the projection pursuit solution.


    Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11368/2883

    Titolo: Preserving the Clustering Structure by a Projection Pursuit Approach
    Autori interni: TORELLI, Nicola
    Data di pubblicazione: 2010
    Abstract: A projection pursuit technique to reduce the dimensionality of a data set preserving the clustering structure is proposed. It is based on Silverman’s (J R Stat Soc B 43:97–99, 1981) critical bandwidth.We show that critical bandwidth is scale equivariant and this property allows us to keep affine invariance of the projection pursuit solution.
    Handle: http://hdl.handle.net/11368/2883
    ISBN: 9783642037382
    Appare nelle tipologie:2.1 Contributo in Volume (Capitolo,Saggio)

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