Algorithms for clustering data
Algorithms for clustering data
Surface reconstruction from unorganized points
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Piecewise smooth surface reconstruction
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
IPCAT '97 Proceedings of the second international workshop on Information processing in cell and tissues
ACM Computing Surveys (CSUR)
Influence sets based on reverse nearest neighbor queries
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Bioinformatics: the machine learning approach
Bioinformatics: the machine learning approach
On Clustering Validation Techniques
Journal of Intelligent Information Systems
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
Cluster-Based Generation of Hierarchical Surface Models
DAGSTUHL '97 Proceedings of the Conference on Scientific Visualization
DHC: A Density-Based Hierarchical Clustering Method for Time Series Gene Expression Data
BIBE '03 Proceedings of the 3rd IEEE Symposium on BioInformatics and BioEngineering
ATask Oriented View of Software Visualization
VISSOFT '02 Proceedings of the 1st International Workshop on Visualizing Software for Understanding and Analysis
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Parallel coordinates: a tool for visualizing multi-dimensional geometry
VIS '90 Proceedings of the 1st conference on Visualization '90
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Cluster Analysis for Gene Expression Data: A Survey
IEEE Transactions on Knowledge and Data Engineering
GeneCluster 2.0: an advanced toolset for bioarray analysis
Bioinformatics
BORDER: Efficient Computation of Boundary Points
IEEE Transactions on Knowledge and Data Engineering
Reverse kNN search in arbitrary dimensionality
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Computational Geometry: Algorithms and Applications
Computational Geometry: Algorithms and Applications
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Advanced Data Mining Techniques
Advanced Data Mining Techniques
Evolutionary computation in bioinformatics: a review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Expert Systems with Applications: An International Journal
Visual Analytics for model-based medical image segmentation: Opportunities and challenges
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
Cluster analysis of DNA microarray data is an important but difficult task in knowledge discovery processes. Many clustering methods are applied to analysis of data for gene expression, but none of them is able to deal with an absolute way with the challenges that this technology raises. Due to this, many applications have been developed for visually representing clustering algorithm results on DNA microarray data, usually providing dendrogram and heat map visualizations. Most of these applications focus only on the above visualizations, and do not offer further visualization components to the validate the clustering methods or to validate one another. This paper proposes using a visual analytics framework in cluster analysis of gene expression data. Additionally, it presents a new method for finding cluster boundaries based on properties of metric spaces. Our approach presents a set of visualization components able to interact with each other; namely, parallel coordinates, cluster boundary genes, 3D cluster surfaces and DNA microarray visualizations as heat maps. Experimental results have shown that our framework can be very useful in the process of more fully understanding DNA microarray data. The software has been implemented in Java, and the framework is publicly available at http://www.analiticavisual.com/jcastellanos/3DVisualCluster/3D-VisualCluster.