EXDIM: Multidimensional data mining

"This module introduces table management and the link between multivariate and univariate: matrix manipulation and common operations; notion of projection and distance; translation of descriptive and univariate statistics with multiple regression/ACP/AFD as an example; indices of (dis)similarity, distance; correlation".

Understand, apply and interpret classification methods: aggregation criteria for hierarchical ascending classification (mean link, etc.) and k-means PCA + AFC +PCoA-MDS + nMDS.

Descriptive statistics (variance, co-variance, linear regression), matrix calculation

100% continuous assessment

Hourly volumes:

            CM : 12 h

            TD : 0 h

            Practical work: 18 h

            Field : 0 h

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            SPS: 0 h

            Seminars: 0 h

            Outside UM: 0 h