Hierarchical classification, process data

Correspondence analysis is more direct in its approach, without imposing assumptions on the process of data manipulation. It deals strictly with the Euclidean distances between groups of -dimensional points without the restrictions of hierarchical classification of the samples. ... 

Little has been reported on the use of hierarchical divisive methods for processing chemical data sets (other than the inclusion of the minimum-diameter method in some of the comparative studies mentioned above). Recursive partitioning, which is a supervised classification technique very closely related to monothetic divisive clustering, has, however, been used at the GlaxoSmithKline and Organon companies. 

On the basis of hierarchical systems, some companies such as Perkin-Elmer and IBM have developed the so-called workstations . These are interactive computers based on instruments that allow the user to control one or most of the laboratory operations. Hence, they afford data acquisition, classification, amendment, correlation and request, and support data processing and/or process simulation. 

This nine-dimensional data representation of the body pose is recorded at a 30-Hz rate in an XML hierarchical format resulting in a sequence of poses that can represent the body movement. This data is then filtered using filtering and curve-fitting techniques, as discussed in [4]. The resulting XML data can either be used in real time for applications such as real-time activity classification, or it can be saved to be later visualized and processed offline. 

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