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ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
13 years 10 months ago
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
In many clustering applications for bioinformatics, only part of the data clusters into one or more groups while the rest needs to be pruned. For such situations, we present Hiera...
Gunjan Gupta, Alexander Liu, Joydeep Ghosh
CGF
2010
169views more  CGF 2010»
13 years 4 months ago
Image-Based Edge Bundles: Simplified Visualization of Large Graphs
We present a new approach aimed at understanding the structure of connections in edge-bundling layouts. We combine the advantages of edge bundles with a bundle-centric simplified ...
Alexandru Telea, Ozan Ersoy
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
13 years 4 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
EDM
2008
289views Data Mining» more  EDM 2008»
13 years 6 months ago
Developing a Log-based Motivation Measuring Tool
The purpose of this study is to develop a conceptual framework and a tool for measuring motivation of online learners. The study was carried out in three phases, the first of which...
Arnon Hershkovitz, Rafi Nachmias
BMCBI
2011
12 years 11 months ago
The PathOlogist: An Automated Tool for Pathway-Centric Analysis
Background: The PathOlogist is a new tool designed to transform large sets of gene expression data into quantitative descriptors of pathway-level behavior. The tool aims to provid...
Sharon I. Greenblum, Sol Efroni, Carl F. Schaefer,...