Toward integrating feature selection algorithms for classification and clustering
Explore this paper's citation graph
- Type
- article
- Published
- 2005-04-01
- Cited by
- 2,868
- References
- 99
- Access
- Open access
- OpenAlex
- https://openalex.org/W2102831150
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1607600
Keywords
Feature selection, Computer science, Cluster analysis, Data mining, Feature (linguistics)
References
- Learning with Many Irrelevant Features
- Handling Large Unsupervised Data via Dimensionality Reduction
- A Probabilistic Approach to Feature Selection - A Filter Solution
- The Feature Selection Problem: Traditional Methods and a New Algorithm
- Original Contribution: Training a 3-node neural network is NP-complete
- Subspace Clustering of High Dimensional Data
- Data Mining - Concepts and Techniques
- Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction
- Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
- Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
- Selection of Relevant Features and Examples in Machine Learning
- EVOLVING DATA MINING INTO SOLUTIONS FOR INSIGHTS
- Instance Selection and Construction for Data Mining
- On Feature Selection: Learning with Exponentially Many Irrelevant Features as Training Examples
- Attribute-Oriented Induction in data Mining
- Customer Retention via Data Mining
- From Data Mining to Knowledge Discovery: An Overview
- A Branch and Bound Algorithm for Feature Subset Selection
- Data Preparation for Data Mining
- Feature Selection with Selective Sampling
Cited by
- Algorithmes métaheuristiques hybrides pour la sélection de gènes et la classification de données de biopuces. (Hybrid metaheuristics algorithms for gene selection and classification of microarray data)
- Semi-supervised Feature Selection via Spectral Analysis
- Feature Construction Scheme for Efficient Intrusion Detection System
- INFORMATION-VALUE-BASED FEATURE SELECTION ALGORITHM FOR ANOMALY DETECTION OVER DATA STREAMS
- Comparison of Machine Learning Algorithms for Classification of the Sentences in Three Clinical Practice Guidelines
- Méthodes d'apprentissage pour l'estimation de la pose de la tête dans des images monoculaires. (Learning-based head pose estimation in monocular images)
- Consensus policies to solve bioinformatic problems through Bayesian network classifiers and estimation of distribution algorithms
- Comparison of feature evaluation criteria for speech recognition based on electromyography
- A framework for feature selection in high-dimensional domains
- Accelerated Fuzzy Clustering
- Recent developments in clustering algorithms
- Reconnaissance de catégories d'objets et d'instances d'objets à l'aide de représentations locales. (Local Feature Based Object Categories and Object Instances Recognition)
- Parameter-Tuned Data Mining: A General Framework
- Learning techniques for automatic email message tagging
- Multi-label feature selection with application to musical instrument recognition
- Interactive Feature Selection and Visualization for Large Observational Data
- Improving telemarketing Intelligence through Significant proportion of target Instances
- How friendship links and group memberships affect the privacy of individuals in social networks
- Prévision de la défaillance et réseaux de neurones : l'apport des méthodes numériques de sélection de variables
- Change-point detection with supervised learning and feature selection
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