Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...
In this paper we present an application of single cluster visualization (SCV) a technique to visualize single clusters of high-dimensional data. This method maps a single cluster t...
Addressing the long term preservation issues associated with scientific data is a complex challenge compounded by: the scale and multidisciplinary nature of the problem; the wide ...
We present an algorithm for compressing 2D vector fields that preserves topology. Our approach is to simplify the given data set using constrained clustering. We employ different...
Suresh K. Lodha, Jose C. Renteria, Krishna M. Rosk...
Abstract. Given a set of pairwise distances on a set of n points, constructing an edge-weighted tree whose leaves are these n points such that the tree distances would mimic the or...