Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
Journal of Computational and Applied Mathematics
Optimal algorithms for approximate clustering
STOC '88 Proceedings of the twentieth annual ACM symposium on Theory of computing
A practical approach to feature selection
ML92 Proceedings of the ninth international workshop on Machine learning
The nature of statistical learning theory
The nature of statistical learning theory
Feature selection in unsupervised learning via evolutionary search
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Alternatives to the k-means algorithm that find better clusterings
Proceedings of the eleventh international conference on Information and knowledge management
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
On Clustering Validation Techniques
Journal of Intelligent Information Systems
Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generating Accurate Rule Sets Without Global Optimization
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Feature Subset Selection and Order Identification for Unsupervised Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Integrating constraints and metric learning in semi-supervised clustering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Simultaneous Feature Selection and Clustering Using Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Graph Edit Distance from Spectral Seriation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Discriminative Learning Framework with Pairwise Constraints for Video Object Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boosting an Associative Classifier
IEEE Transactions on Knowledge and Data Engineering
Approximate clustering in very large relational data: Research Articles
International Journal of Intelligent Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Novel Unsupervised Feature Filtering of Biological Data
Bioinformatics
Word sense disambiguation using label propagation based semi-supervised learning
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Robust locally linear embedding
Pattern Recognition
Iterative RELIEF for Feature Weighting: Algorithms, Theories, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
A transductive framework of distance metric learning by spectral dimensionality reduction
Proceedings of the 24th international conference on Machine learning
Enhancing semi-supervised clustering: a feature projection perspective
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Robust Object Detection with Interleaved Categorization and Segmentation
International Journal of Computer Vision
Locality sensitive semi-supervised feature selection
Neurocomputing
A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection
IEEE Transactions on Knowledge and Data Engineering
Optimization Techniques for Semi-Supervised Support Vector Machines
The Journal of Machine Learning Research
Weighted cluster ensembles: Methods and analysis
ACM Transactions on Knowledge Discovery from Data (TKDD)
A Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local-Learning-Based Feature Selection for High-Dimensional Data Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discriminative semi-supervised feature selection via manifold regularization
IEEE Transactions on Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature selection for multiclass discrimination via mixed-integer linear programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
Clustering of the self-organizing map
IEEE Transactions on Neural Networks
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Many feature selection methods based on supervised learning have investigated side information that considers labelled instances. In this paper, we present a new feature selection method for semi-supervised learning, helped by side information, and the selected features are useful for discovering natural clusters. To select salient features for clustering, most existing wrapper-based feature selection methods study features from the partitioned clusters that result from a prespecified clustering algorithm. The selected features often suffer from both noisy features participating in the partitioning process and bias in the clustering algorithm selection. To overcome these problems, our method does not need clustered information to train features. In particular, our method uses side information to select features directly from the nearest and the farthest neighbours regardless of any clustering algorithm helping to partition data into clusters; specifically, the side information is considered to form pairwise instance constraints to guide the feature selection process and assign a weight for each instance for training. Experimental results indicate that our method, tested on image datasets, outperforms many well known wrapper-based feature selection methods in selecting features for clustering.