The grand tour: a tool for viewing multidimensional data
SIAM Journal on Scientific and Statistical Computing
Cone Trees: animated 3D visualizations of hierarchical information
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Dynamic queries for information exploration: an implementation and evaluation
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
Visual information seeking: tight coupling of dynamic query filters with starfield displays
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communications of the ACM
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
A focus+context technique based on hyperbolic geometry for visualizing large hierarchies
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Feature-index-based similar shape retrieval
Proceedings of the third IFIP WG2.6 working conference on Visual database systems 3 (VDB-3)
IEEE Transactions on Visualization and Computer Graphics
VisDB: Database Exploration Using Multidimensional Visualization
IEEE Computer Graphics and Applications
A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
STING: A Statistical Information Grid Approach to Spatial Data Mining
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Exploring N-dimensional databases
VIS '90 Proceedings of the 1st conference on Visualization '90
Shape coding of multidimensional data on a microcomputer display
VIS '90 Proceedings of the 1st conference on Visualization '90
Parallel coordinates: a tool for visualizing multi-dimensional geometry
VIS '90 Proceedings of the 1st conference on Visualization '90
Interactive data visualization using focusing and linking
VIS '91 Proceedings of the 2nd conference on Visualization '91
Navigating large networks with hierarchies
VIS '93 Proceedings of the 4th conference on Visualization '93
Grid-Clustering: An Efficient Hierarchical Clustering Method for Very Large Data Sets
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
A human-computer cooperative system for effective high dimensional clustering
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Towards effective and interpretable data mining by visual interaction
ACM SIGKDD Explorations Newsletter
Opportunities for Information Visualization
IEEE Computer Graphics and Applications
Using Projections to Visually Cluster High-Dimensional Data
Computing in Science and Engineering
Inventing Discovery Tools: Combining Information Visualization with Data Mining
DS '01 Proceedings of the 4th International Conference on Discovery Science
Guiding knowledge discovery through interactive data mining
Managing data mining technologies in organizations
Intelligent data analysis
Inventing discovery tools: combining information visualization with data mining
Information Visualization
Visual Exploration of Large Relational Data Sets through 3D Projections and Footprint Splatting
IEEE Transactions on Knowledge and Data Engineering
Validating and Refining Clusters via Visual Rendering
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Analyzing High-Dimensional Data by Subspace Validity
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Towards systematic design of distance functions for data mining applications
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
A Human-Computer Interactive Method for Projected Clustering
IEEE Transactions on Knowledge and Data Engineering
Information Visualization - Special issue on coordinated and multiple views in exploratory visualization
ClusterMap: labeling clusters in large datasets via visualization
Proceedings of the thirteenth ACM international conference on Information and knowledge management
VISTA: validating and refining clusters via visualization
Information Visualization
A rank-by-feature framework for interactive exploration of multidimensional data
Information Visualization
On the use of Human-Computer Interaction for Projected Nearest Neighbor Search
Data Mining and Knowledge Discovery
iVIBRATE: Interactive visualization-based framework for clustering large datasets
ACM Transactions on Information Systems (TOIS)
Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification
IEEE Transactions on Knowledge and Data Engineering
DataJewel: Integrating Visualization with Temporal Data Mining
Visual Data Mining
Visual cluster analysis of trajectory data with interactive Kohonen maps
Information Visualization
Improved Visual Clustering through Unsupervised Dimensionality Reduction
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Visualising the cluster structure of data streams
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Enhanced visual separation of clusters by M-mapping to facilitate cluster analysis
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
A text document clustering method based on ontology
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
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
iDVS: an interactive multi-document visual summarization system
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Representing unevenly-spaced time series data for visualization and interactive exploration
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Visual interactive clustering and querying of spatio-temporal data
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
Profiler: integrated statistical analysis and visualization for data quality assessment
Proceedings of the International Working Conference on Advanced Visual Interfaces
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
A framework for exploring multidimensional data with 3D projections
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Outlier ensembles: position paper
ACM SIGKDD Explorations Newsletter
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Most automated clustering algorithms do not work effectively on high-dimensional data -- they are likely to miss clusters with certain unexpected characteristics. For example, the so-called "curse of dimensionality" makes it difficult to find the necessary parameters for tuning the clustering algorithms to the specific application. We propose novel visual mining techniques to overcome these problems. The idea is to support the critical steps of an advanced automated clustering algorithm by visualization techniques. The automated clustering algorithm uses projections of the point density of the high-dimensional data to find good separators between the clusters. The visualization techniques we use allow easy identification of important data characteristics. Since the number of interesting projections may become large, we provide different visualization techniques ranging from abstract iconic representations of the separation potential to pixel-oriented overview plots of the multi-dimensional projections. The visualizations also allow specifying complex hyper-polygonal separators directly within the visualization. This permits finding clusters that no automatic algorithm can determine. We integrated all the visualization techniques using a tree-like visualization of the projection and separator hierarchy. Experiments applied our new visualization techniques in a real application from molecular biology.