Abstract
This chapter discusses the most commonly used unsupervised methods with simple undirected linking structures. It also discusses a method that can deal with multiway arrays and a method that can handle blocks containing measurements of different scale-types. Given the complexity of the data and types of systems studied, there are many unsupervised multiblock data analysis methods. Hence, the chapter discusses many methods. It provides some guidelines on when to use what method. The chapter describes methods for data sets that have a shared variable mode and discusses methods for a shared sample mode. The chapter also discusses a generic framework for defining unsupervised multiblock data analysis methods. There are still many open issues in unsupervised multiblock data analysis. The chapter discusses some of them.
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