Abstract. We consider the problem of clustering data into k 2 clusters given complex relations -- going beyond pairwise -- between the data points. The complex n-wise relations ar...
This paper introduces a hardware amenable algorithm for lossless data compression and a highly integrable architecture which enables Gbit/s compression using contemporary ASIC tec...
Jose Luis Nunez, Claudia Feregrino, Simon Jones, S...
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
The goal of the research being reported is the discovery of useful concepts in temporal medical databases. In this paper, we present a sequence building approach, based on the Gen...
Jorge C. G. Ramirez, Lynn L. Peterson, Dolores M. ...
Relational data appear frequently in many machine learning applications. Relational data consist of the pairwise relations (similarities or dissimilarities) between each pair of i...
Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip...