The dynamic HomeFinder: evaluating dynamic queries in a real-estate information exploration system
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Classification and visualization for high-dimensional data
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Visualizing multi-dimensional clusters, trends, and outliers using star coordinates
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Clustering spatial data using random walks
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Dynamic Queries for Visual Information Seeking
IEEE Software
Cluster Stability and the Use of Noise in Interpretation of Clustering
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
TreeJuxtaposer: scalable tree comparison using Focus+Context with guaranteed visibility
ACM SIGGRAPH 2003 Papers
A two-way visualization method for clustered data
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
A unified framework for model-based clustering
The Journal of Machine Learning Research
Towards interactive exploration of gene expression patterns
ACM SIGKDD Explorations Newsletter
Information Visualization - Special issue on coordinated and multiple views in exploratory visualization
Dynamic query tools for time series data sets: timebox widgets for interactive exploration
Information Visualization
An Insight-Based Methodology for Evaluating Bioinformatics Visualizations
IEEE Transactions on Visualization and Computer Graphics
An Interactive Approach to Mining Gene Expression Data
IEEE Transactions on Knowledge and Data Engineering
A rank-by-feature framework for interactive exploration of multidimensional data
Information Visualization
A Telescope for High-Dimensional Data
Computing in Science and Engineering
IEEE Transactions on Visualization and Computer Graphics
Information Visualization - Special issue: Bioinformatics visualization
iVIBRATE: Interactive visualization-based framework for clustering large datasets
ACM Transactions on Information Systems (TOIS)
Using rhythms of relationships to understand e-mail archives
Journal of the American Society for Information Science and Technology
Visualization of complementary systems biology data with parallel heatmaps
IBM Journal of Research and Development - Systems biology
Visualizing set concordance with permutation matrices and fan diagrams
Interacting with Computers
Data mining from 1994 to 2004: an application-orientated review
International Journal of Business Intelligence and Data Mining
Semi-supervised visual clustering for spherical coordinates systems
Proceedings of the 2008 ACM symposium on Applied computing
Browsing databases with constraint hierarchies
Electronic Commerce Research
DataMeadow: a visual canvas for analysis of large-scale multivariate data
Information Visualization - Special issue on visual analytics science and technology
Scable and interactive visual analysis of financal wire transactions for fraud detection
Information Visualization - Special issue on visual analytics science and technology
Visualization of multi-algorithm clustering for better economic decisions - The case of car pricing
Decision Support Systems
Visual exploration of categorical and mixed data sets
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration
Visually driven analysis of movement data by progressive clustering
Information Visualization
Les « arbres empilés »: une nouvelle approche pour la visualisation des grands dendrogrammes
Proceedings of the 21st International Conference on Association Francophone d'Interaction Homme-Machine
Learning vector quantization with adaptive prototype addition and removal
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A new HMM-based ensemble generation method for numeral recognition
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Exploring schema similarity at multiple resolutions
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Visual analysis of mixed data sets using interactive quantification
ACM SIGKDD Explorations Newsletter
A meta-heuristic approach for improving the accuracy in some classification algorithms
Computers and Operations Research
CDVE'10 Proceedings of the 7th international conference on Cooperative design, visualization, and engineering
The discovery of hierarchical cluster structures assisted by a visualization technique
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Visualizing gene co-expression as google maps
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Coordinated graph and scatter-plot views for the visual exploration of microarray time-series data
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
A top-down approach for hierarchical cluster exploration by visualization
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Human-centered visualization environments
Human-centered visualization environments
CloudVista: visual cluster exploration for extreme scale data in the cloud
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Visual knowledge discovery in paleoclimatology with parallel coordinates
DS'06 Proceedings of the 9th international conference on Discovery Science
A knowledge integration framework for information visualization
From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments
Dual analysis of DNA microarrays
Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
CVSgrab: mining the history of large software projects
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
A visual analytics framework for cluster analysis of DNA microarray data
Expert Systems with Applications: An International Journal
Visual analysis and semantic exploration of urban LIDAR change detection
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
Pathline: a tool for comparative functional genomics
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
Interactive visual analysis of temporal cluster structures
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Integrating cluster formation and cluster evaluation in interactive visual analysis
Proceedings of the 27th Spring Conference on Computer Graphics
Discovering diverse association rules from multidimensional schema
Expert Systems with Applications: An International Journal
| Hi-index | 4.10 |
To date, work in microarrays, sequenced genomes, and bioinformatics has focused largely on algorithmic methods for processing and manipulating vast biological data sets. Future improvements will likely provide users with guidance in selecting the most appropriate algorithms and metrics for identifying meaningful clusters--interesting patterns in large data sets, such asgroups of genes with similar profiles. Hierarchical clustering has been shown to be effective in microarray data analysis for identifying genes with similar profiles and thus possibly with similarfunctions. Users also need an efficient visualization tool, however, to facilitate pattern extraction from microarray data sets.The Hierarchical Clustering Explorer integrates four interactive features to provide information visualization techniques that allow users to control the processes and interact with the results. Thus, hybrid approaches that combine powerful algorithms with interactive visualization tools will join the strengths of fast processors with the detailed understanding of domain experts.