Tag Archives: unsupervised statistical techniques

A Map of Early English Print

Michael Witmore & Jonathan Hope [caption: PCA biplot of 61,315 texts from the TCP corpus, rated on features counted by Docuscope version 3.21 in an implementation created by the Mellon funded “Visualizing Early Print” project at the University of Wisconsin, Madison. Axis and quadrant labels shown here, along with the experiment that led to the […]

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