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Clusterwise multiblock PLS

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Abstract

Clusterwise linear regression aims at partitioning a dataset into clusters characterized by their own regression coefficients. To deal with multiblock data, an extension of clusterwise regression to multiblock PLS is proposed. As this method is component-based, it may handle high dimensional data. The interest of the proposed method will be illustrated on the basis of a simulation study
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Dates and versions

hal-02471608 , version 1 (12-09-2021)

Identifiers

  • HAL Id : hal-02471608 , version 1

Cite

Ndèye Niang, Stéphanie Bougeard, Gilbert Saporta. Clusterwise multiblock PLS. SFC 2018, Sep 2018, Paris, France. ⟨hal-02471608⟩
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