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APVIS
2003
13 years 10 months ago
A Scalable Method for Visualising Changes in Portfolio Data
In this paper techniques from multidimensional scaling and graph drawing are coupled to provide an overview-and-detail style method for visualising a high dimensional dataset whos...
Tim Dwyer
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
14 years 3 months ago
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk...
VLUDS
2010
184views Visualization» more  VLUDS 2010»
13 years 3 months ago
Advanced Visualization and Interaction Techniques for Large High-Resolution Displays
Large high-resolution displays combine the images of multiple smaller display devices to form one large display area. A total resolution that can easily comprise several hundred m...
Sebastian Thelen
ICDE
2010
IEEE
222views Database» more  ICDE 2010»
13 years 7 months ago
Finding Clusters in subspaces of very large, multi-dimensional datasets
Abstract— We propose the Multi-resolution Correlation Cluster detection (MrCC), a novel, scalable method to detect correlation clusters able to analyze dimensional data in the ra...
Robson Leonardo Ferreira Cordeiro, Agma J. M. Trai...
KDD
2002
ACM
1075views Data Mining» more  KDD 2002»
14 years 9 months ago
CLOPE: a fast and effective clustering algorithm for transactional data
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
Yiling Yang, Xudong Guan, Jinyuan You