Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Elements of information theory
Elements of information theory
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
EM algorithms for PCA and SPCA
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Fast algorithms for projected clustering
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Concept decompositions for large sparse text data using clustering
Machine Learning
Constrained K-means Clustering with Background Knowledge
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Semi-supervised Clustering by Seeding
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Information-theoretic co-clustering
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Subspace clustering for high dimensional data: a review
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
A probabilistic framework for semi-supervised clustering
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
On Discovery of Extremely Low-Dimensional Clusters Using Semi-Supervised Projected Clustering
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Semi-supervised visual clustering for spherical coordinates systems
Proceedings of the 2008 ACM symposium on Applied computing
Clustering Via Local Regression
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
A consensus based approach to constrained clustering of software requirements
Proceedings of the 17th ACM conference on Information and knowledge management
Kernel-Based Transductive Learning with Nearest Neighbors
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Constraint projections for ensemble learning
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Clustering with Constrained Similarity Learning
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Semi-supervised clustering with metric learning: An adaptive kernel method
Pattern Recognition
Integrating global and local structures in semi-supervised discriminant analysis
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Semi-supervised sparse metric learning using alternating linearization optimization
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Clustering with feature order preferences
Intelligent Data Analysis - Artificial Intelligence
A graph-based projection approach for semi-supervised clustering
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
Performance evaluation of constraints in graph-based semi-supervised clustering
AMT'10 Proceedings of the 6th international conference on Active media technology
Semi-supervised projection clustering with transferred centroid regularization
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Semisupervised kernel matrix learning by kernel propagation
IEEE Transactions on Neural Networks
Distance metric learning guided adaptive subspace semi-supervised clustering
Frontiers of Computer Science in China
Interactive feature selection for document clustering
Proceedings of the 2011 ACM Symposium on Applied Computing
Semi-supervised parameter-free divisive hierarchical clustering of categorical data
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Pairwise constraint propagation for graph-based semi-supervised clustering
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Graph-Cut Based Iterative Constrained Clustering
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Subclass-Oriented dimension reduction with constraint transformation and manifold regularization
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Semi-supervised document clustering with dual supervision through seeding
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Enhancing semi-supervised document clustering with feature supervision
Proceedings of the 27th Annual ACM Symposium on Applied Computing
A unified framework for document clustering with dual supervision
ACM SIGAPP Applied Computing Review
Personalized document clustering with dual supervision
Proceedings of the 2012 ACM symposium on Document engineering
Semi-supervised fuzzy clustering with metric learning and entropy regularization
Knowledge-Based Systems
Linear semi-supervised projection clustering by transferred centroid regularization
Journal of Intelligent Information Systems
Regularized soft K-means for discriminant analysis
Neurocomputing
Clustering with Extended Constraints by Co-Training
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
The impact of semi-supervised clustering on text classification
Proceedings of the 17th Panhellenic Conference on Informatics
Journal of Information Science
Interactive text document clustering using feature labeling
Proceedings of the 2013 ACM symposium on Document engineering
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Semi-supervised clustering employs limited supervision in the form of labeled instances or pairwise instance constraints to aid unsupervised clustering and often significantly improves the clustering performance. Despite the vast amount of expert knowledge spent on this problem, most existing work is not designed for handling high-dimensional sparse data. This paper thus fills this crucial void by developing a Semi-supervised Clustering method based on spheRical K-mEans via fEature projectioN (SCREEN). Specifically, we formulate the problem of constraint-guided feature projection, which can be nicely integrated with semi-supervised clustering algorithms and has the ability to effectively reduce data dimension. Indeed, our experimental results on several real-world data sets show that the SCREEN method can effectively deal with high-dimensional data and provides an appealing clustering performance.