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- W4224088511 abstract "This chapter describes the general structures of multiblock data sets. It is difficult to give a true taxonomy because a systematic classification of all the different multiblock methods is impossible to give. The chapter aims to structure the methods according to some characteristics. It uses the terminology from graph theory. In that context, a multiblock data set can be regarded as a graph where the data block is a node and a relation between two blocks is an edge. Subsequently, we can distinguish three levels of detail in such a graphical representation: skeleton of the graph, topology of the graph, and linking structure of the graph. The chapter discusses and illustrates these characteristics. The linking structure for unsupervised analysis is based on components for all blocks; for supervised analysis the linking structure can be more involved." @default.
- W4224088511 created "2022-04-19" @default.
- W4224088511 date "2022-04-09" @default.
- W4224088511 modified "2023-09-28" @default.
- W4224088511 title "Structure of Multiblock Data" @default.
- W4224088511 doi "https://doi.org/10.1002/9781119600978.ch3" @default.
- W4224088511 hasPublicationYear "2022" @default.
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