Visualizing the behavior of higher dimensional dynamical systems
VIS '97 Proceedings of the 8th conference on Visualization '97
Fast algorithms for projected clustering
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Finding generalized projected clusters in high dimensional spaces
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Efficient algorithms for mining outliers from large data sets
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Outlier detection for high dimensional data
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data
INFOVIS '98 Proceedings of the 1998 IEEE Symposium on Information Visualization
Visual hierarchical dimension reduction for exploration of high dimensional datasets
VISSYM '03 Proceedings of the symposium on Data visualisation 2003
Parallel coordinates: a tool for visualizing multi-dimensional geometry
VIS '90 Proceedings of the 1st conference on Visualization '90
Information Visualization - Special issue on coordinated and multiple views in exploratory visualization
Computing Clusters of Correlation Connected objects
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
The Amsterdam Library of Object Images
International Journal of Computer Vision
Subspace Selection for Clustering High-Dimensional Data
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Density Connected Clustering with Local Subspace Preferences
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Parallel Coordinates: Visual Multidimensional Geometry and Its Applications
Parallel Coordinates: Visual Multidimensional Geometry and Its Applications
An Interactive 3D Integration of Parallel Coordinates and Star Glyphs
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Revealing structure in visualizations of dense 2D and 3D parallel coordinates
Information Visualization
Global Correlation Clustering Based on the Hough Transform
Statistical Analysis and Data Mining
ACM Transactions on Knowledge Discovery from Data (TKDD)
Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Automated Analytical Methods to Support Visual Exploration of High-Dimensional Data
IEEE Transactions on Visualization and Computer Graphics
Spatial outlier detection: data, algorithms, visualizations
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
Finding hierarchies of subspace clusters
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
Evaluation of Clusterings -- Metrics and Visual Support
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
A survey on unsupervised outlier detection in high-dimensional numerical data
Statistical Analysis and Data Mining
A survey on enhanced subspace clustering
Data Mining and Knowledge Discovery
Outlier Detection in Arbitrarily Oriented Subspaces
ICDM '12 Proceedings of the 2012 IEEE 12th International Conference on Data Mining
Subspace search and visualization to make sense of alternative clusterings in high-dimensional data
VAST '12 Proceedings of the 2012 IEEE Conference on Visual Analytics Science and Technology (VAST)
Subsampling for efficient and effective unsupervised outlier detection ensembles
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Geodetic distance queries on r-trees for indexing geographic data
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
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Parallel coordinates are an established technique to visualize high-dimensional data, in particular for data mining purposes. A major challenge is the ordering of axes, as any axis can have at most two neighbors when placed in parallel on a 2D plane. By extending this concept to a 3D visualization space we can place several axes next to each other. However, finding a good arrangement often does not necessarily become easier, as still not all axes can be arranged pairwise adjacently to each other. Here, we provide a tool to explore complex data sets using 3D-parallel-coordinate-trees, along with a number of approaches to arrange the axes.