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Data analysis

Depending on the nature of the data matrix and the goal of the study, the following statistical methods are regulary used at CTIS:

    - Principal Component Analysis (PCA)
    - Correspondence Factor Analysis (CFA)
    - Co-inertia analysis
    - Hierarchical Cluster Analysis
    - Minimum Spanning Tree (MST)
    - Nonlinear Mapping (NLM)
    - Multidimentional Scaling (MDS)
    - N2M
    - Linear regression analysis
    - PLS analysis
    - Orthogonal regression analysis
    - Stochastic regression analysis
    - Discriminant analysis
    - Neural networks
    - Genetic algorithms
    - Hybrid systems