Olfactory Classification via Interpoint Distance Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Clustering Algorithms
A new family of proximity graphs: class cover catch digraphs
Discrete Applied Mathematics
Computational Statistics & Data Analysis
Extension of one-dimensional proximity regions to higher dimensions
Computational Geometry: Theory and Applications
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The purpose of this article is to introduce a data visualization technique for class cover catch digraphs which allows for the discovery of latent subclasses. We illustrate the technique via a pedagogical example and an application to data sets from artificial nose chemical sensing and gene expression monitoring by DNA microarrays. Of particular interest is the discovery of latent subclasses representing chemical concentration in the artificial nose data and two subtypes of acute lymphoblastic leukemia in the gene expression data and the associated conjectures pertaining to the geometry of these subclasses in their respective high-dimensional observation spaces.