66th ISI World Statistics Congress

66th ISI World Statistics Congress

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High-Dimensional Data Analysis and Visualisation

Organiser

L
Rosaria Lombardo

Participants

  • L
    Prof. Rosaria Lombardo     (Chair)

  • C
    Dr Carlo Cavicchia     (Presenter/Speaker)
  • Convex Clustering of Mixed Numerical and Categorical Data

  • KE
    Karunia Eka     (Presenter/Speaker)
  • From Continuous Handwriting Measurements to Categorical Association Maps Using Multiple Correspondence Analysis

  • RG
    Dr Raeesa Ganey     (Presenter/Speaker)
  • The Generalised Singular Value Decomposition in High-Dimensional Multivariate Methods

  • V
    Dr Michel Van de Velden     (Presenter/Speaker)
  • Improved interpretation methods for joint multidimensional scaling and cluster analysis with external information

  • IG
    Dr Irlandia Ginanjar     (Presenter/Speaker)
  • On the growth of correspondence analysis in Indonesia

  • N
    Dr Johane Nienkemper-Swanepoel     (Discussant)

  • AI
    Alfonso Iodice D'Enza     (Panellist)

  • B
    Prof. Eric Beh     (Panellist)

    • Conference

    66th ISI World Statistics Congress

    Category: International Association for Statistical Computing (IASC)

    Proposal Description

    In the field of dimension reduction, the session focuses on methods for analysing high-dimensional data in both supervised and unsupervised settings, with particular emphasis on complex data structures such as matrices, tensors, and text data involving categorical, quantitative, or mixed-type variables. Topics of interest include clustering and classification methods, correspondence analysis, biplots, and related multivariate techniques for the exploration and interpretation of complex data. Special attention is also given to the visualisation of high-dimensional and complex data structures.

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