The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Abstract. In this paper we present the new data structure Colored Sector Search Tree (CSST ) for solving the Nearest-Foreign-Neighbor Query Problem (NFNQP ): Given a set S of n col...
Thomas Graf, V. Kamakoti, N. S. Janaki Latha, C. P...
We present an algorithm, Hierarchical ISOmetric SelfOrganizing Map (H-ISOSOM), for a concise, organized manifold representation of complex, non-linear, large scale, high-dimension...