WebACE: a Web agent for document categorization and exploration
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Co-clustering documents and words using bipartite spectral graph partitioning
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Bipartite graph partitioning and data clustering
Proceedings of the tenth international conference on Information and knowledge management
Biclustering of Expression Data
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
Experiments with Random Projection
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Adaptive dimension reduction for clustering high dimensional data
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Subspace clustering for high dimensional data: a review
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Document clustering via adaptive subspace iteration
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
K-means clustering via principal component analysis
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Discriminative cluster analysis
ICML '06 Proceedings of the 23rd international conference on Machine learning
Null space versus orthogonal linear discriminant analysis
ICML '06 Proceedings of the 23rd international conference on Machine learning
Orthogonal nonnegative matrix t-factorizations for clustering
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Generalizing discriminant analysis using the generalized singular value decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear adaptive distance metric learning for clustering
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Transferred Dimensionality Reduction
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Clustering multi-way data via adaptive subspace iteration
Proceedings of the 17th ACM conference on Information and knowledge management
Local Metric Learning on Manifolds with Application to Query---Based Operations
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Subspace maximum margin clustering
Proceedings of the 18th ACM conference on Information and knowledge management
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Variational Bayesian mixture model on a subspace of exponential family distributions
IEEE Transactions on Neural Networks
A novel clustering algorithm based upon games on evolving network
Expert Systems with Applications: An International Journal
Integrating global and local structures in semi-supervised discriminant analysis
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Feature subset non-negative matrix factorization and its applications to document understanding
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Automatic malware categorization using cluster ensemble
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Image clustering using local discriminant models and global integration
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
A hybrid classical-quantum clustering algorithm based on quantum walks
Quantum Information Processing
Distance metric learning guided adaptive subspace semi-supervised clustering
Frontiers of Computer Science in China
Manifold elastic net: a unified framework for sparse dimension reduction
Data Mining and Knowledge Discovery
Clustering for semi-supervised spam filtering
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
SpectralCAT: Categorical spectral clustering of numerical and nominal data
Pattern Recognition
Image analysis with nonlinear adaptive dimension reduction
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Simultaneous model-based clustering and visualization in the Fisher discriminative subspace
Statistics and Computing
Clustering and understanding documents via discrimination information maximization
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Linear semi-supervised projection clustering by transferred centroid regularization
Journal of Intelligent Information Systems
Mixing matrix estimation using discriminative clustering for blind source separation
Digital Signal Processing
Regularized soft K-means for discriminant analysis
Neurocomputing
Post-processing strategies for improving local gene expression pattern analysis
International Journal of Data Mining and Bioinformatics
Learning a subspace for clustering via pattern shrinking
Information Processing and Management: an International Journal
Correspondence construction for cartoon animation via sparse coding
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Joint clustering and feature selection
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Tensor clustering via adaptive subspace iteration
Intelligent Data Analysis
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We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to generate class labels and use LDA to do subspace selection. The clustering process is thus integrated with the subspace selection process and the data are then simultaneously clustered while the feature subspaces are selected. We show the rich structure of the general LDA-Km framework by examining its variants and their relationships to earlier approaches. Relations among PCA, LDA, K-means are clarified. Extensive experimental results on real-world datasets show the effectiveness of our approach.