Automatic subspace clustering of high dimensional data for data mining applications
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Entropy-based subspace clustering for mining numerical data
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Probabilistic latent semantic indexing
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Scalability for clustering algorithms revisited
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
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An introduction to variable and feature selection
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Recognition with Local Features: the Kernel Recipe
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Feature Selection for Unsupervised Learning
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Simultaneous Feature Selection and Clustering Using Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
Statistical and Inductive Inference by Minimum Message Length (Information Science and Statistics)
Statistical and Inductive Inference by Minimum Message Length (Information Science and Statistics)
Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications
Statistics and Computing
Comparing Subspace Clusterings
IEEE Transactions on Knowledge and Data Engineering
Unsupervised Selection of a Finite Dirichlet Mixture Model: An MML-Based Approach
IEEE Transactions on Knowledge and Data Engineering
Penalized Model-Based Clustering with Application to Variable Selection
The Journal of Machine Learning Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
KPCA for semantic object extraction in images
Pattern Recognition
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Boosting GMM and its two applications
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
IEEE Transactions on Signal Processing
A Graphical Model for Context-Aware Visual Content Recommendation
IEEE Transactions on Multimedia
Effective Feature Extraction in High-Dimensional Space
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Automatica (Journal of IFAC)
Image classification for content-based indexing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Gabor-Based Region Covariance Matrices for Face Recognition
IEEE Transactions on Circuits and Systems for Video Technology
Semi-supervised projected model-based clustering
Data Mining and Knowledge Discovery
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This paper presents a new generalized Dirichlet (GD) mixture model to address the challenging problem of clustering multidimensional data sets on different feature subsets. We approximate class-conditional distributions of mixture components to define binary relevance of features at the level of clusters. We consider a relevant feature as the one providing the knowledge to assign data points in the cluster. Then, we define a new message length objective to learn the model and select both feature subsets and the number of components. The proposed method is general comparatively with existing feature selection and subspace clustering models. In addition, it selects for each cluster only relevant and statistically independent features in a linear time of the number of observations and dimensions. Experiments on synthetic data and in unsupervised image categorization show the merits of our approach.