Perception of an accurate sense of the scale depicted in computer graphics is important for many applications. How to best characterize the accuracy of space perception in compute...
Michael Geuss, Jeanine Stefanucci, Sarah H. Creem-...
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
—Distance estimation and topological proximity in the Internet have recently emerged as important problems for many distributed applications [1], [10], [11], [19], [29], [31], [4...
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...