Automatic subspace clustering of high dimensional data for data mining applications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Fast algorithms for projected clustering
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Entropy-based subspace clustering for mining numerical data
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Density-based indexing for approximate nearest-neighbor queries
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Finding generalized projected clusters in high dimensional spaces
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
ACM Computing Surveys (CSUR)
A Monte Carlo algorithm for fast projective clustering
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
On the 'Dimensionality Curse' and the 'Self-Similarity Blessing'
IEEE Transactions on Knowledge and Data Engineering
When Is ''Nearest Neighbor'' Meaningful?
ICDT '99 Proceedings of the 7th International Conference on Database Theory
On the Surprising Behavior of Distance Metrics in High Dimensional Spaces
ICDT '01 Proceedings of the 8th International Conference on Database Theory
What Is the Nearest Neighbor in High Dimensional Spaces?
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
An introduction to variable and feature selection
The Journal of Machine Learning Research
Computing Clusters of Correlation Connected objects
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Subspace clustering for high dimensional data: a review
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Machine Learning
Biclustering Algorithms for Biological Data Analysis: A Survey
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
HARP: A Practical Projected Clustering Algorithm
IEEE Transactions on Knowledge and Data Engineering
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
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Cluster Cores-Based Clustering for High Dimensional Data
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Iterative Projected Clustering by Subspace Mining
IEEE Transactions on Knowledge and Data Engineering
Automated Variable Weighting in k-Means Type Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Discovery of Extremely Low-Dimensional Clusters Using Semi-Supervised Projected Clustering
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
TRICLUSTER: an effective algorithm for mining coherent clusters in 3D microarray data
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Non-redundant clustering with conditional ensembles
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
A Generic Framework for Efficient Subspace Clustering of High-Dimensional Data
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Comparing Subspace Clusterings
IEEE Transactions on Knowledge and Data Engineering
Deriving quantitative models for correlation clusters
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining frequent closed cubes in 3D datasets
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Mining Maximal Quasi-Bicliques to Co-Cluster Stocks and Financial Ratios for Value Investment
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Clicks: An effective algorithm for mining subspace clusters in categorical datasets
Data & Knowledge Engineering
Locally adaptive metrics for clustering high dimensional data
Data Mining and Knowledge Discovery
On Exploring Complex Relationships of Correlation Clusters
SSDBM '07 Proceedings of the 19th International Conference on Scientific and Statistical Database Management
The Concentration of Fractional Distances
IEEE Transactions on Knowledge and Data Engineering
An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data
IEEE Transactions on Knowledge and Data Engineering
Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)
A framework for projected clustering of high dimensional data streams
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Knowledge and Information Systems
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Non-redundant Multi-view Clustering via Orthogonalization
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
DUSC: Dimensionality Unbiased Subspace Clustering
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Incremental Subspace Clustering over Multiple Data Streams
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Simultaneous Unsupervised Learning of Disparate Clusterings
Statistical Analysis and Data Mining
Global Correlation Clustering Based on the Hough Transform
Statistical Analysis and Data Mining
ACM Transactions on Knowledge Discovery from Data (TKDD)
Finding Alternative Clusterings Using Constraints
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
CARE: Finding Local Linear Correlations in High Dimensional Data
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
A principled and flexible framework for finding alternative clusterings
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
HSM: Heterogeneous Subspace Mining in High Dimensional Data
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Detection of orthogonal concepts in subspaces of high dimensional data
Proceedings of the 18th ACM conference on Information and knowledge management
ACM SIGKDD Explorations Newsletter
Subspace and projected clustering: experimental evaluation and analysis
Knowledge and Information Systems
Efficient mining of distance-based subspace clusters
Statistical Analysis and Data Mining - Best of SDM'09
ICDM '09 Proceedings of the 2009 Ninth IEEE International Conference on Data Mining
A fast algorithm for finding correlation clusters in noise data
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Detection and visualization of subspace cluster hierarchies
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Can shared-neighbor distances defeat the curse of dimensionality?
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
MultiClust 2010: discovering, summarizing and using multiple clusterings
ACM SIGKDD Explorations Newsletter
Density based subspace clustering over dynamic data
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Quality of similarity rankings in time series
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
Spatial outlier detection: data, algorithms, visualizations
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
External evaluation measures for subspace clustering
Proceedings of the 20th ACM international conference on Information and knowledge management
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
A robust seedless algorithm for correlation clustering
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
A survey on enhanced subspace clustering
Data Mining and Knowledge Discovery
Interactive data mining with 3D-parallel-coordinate-trees
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Ensembles for unsupervised outlier detection: challenges and research questions a position paper
ACM SIGKDD Explorations Newsletter
Semi-supervised projected model-based clustering
Data Mining and Knowledge Discovery
| Hi-index | 0.00 |
Subspace clustering refers to the task of identifying clusters of similar objects or data records (vectors) where the similarity is defined with respect to a subset of the attributes (i.e., a subspace of the data space). The subspace is not necessarily (and actually is usually not) the same for different clusters within one clustering solution. In this article, the problems motivating subspace clustering are sketched, different definitions and usages of subspaces for clustering are described, and exemplary algorithmic solutions are discussed. Finally, we sketch current research directions. © 2012 Wiley Periodicals, Inc. © 2012 Wiley Periodicals, Inc.