Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Convergence properties of learning in ART1
Neural Computation
A neural algorithm for document clustering
Information Processing and Management: an International Journal - Special issue on parallel processing and information retrieval
Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Incremental clustering for dynamic information processing
ACM Transactions on Information Systems (TOIS)
Automated learning of decision rules for text categorization
ACM Transactions on Information Systems (TOIS)
Adaptive resonance theory (ART)
The handbook of brain theory and neural networks
Fast and effective text mining using linear-time document clustering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Computer Evaluation of Indexing and Text Processing
Journal of the ACM (JACM)
ACM Computing Surveys (CSUR)
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Information Retrieval
Self-Organizing Maps
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Self organization of a massive document collection
IEEE Transactions on Neural Networks
Constructive feedforward ART clustering networks. II
IEEE Transactions on Neural Networks
Adaptive topological tree structure for document organisation and visualisation
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Neural Network Based Document Clustering Using WordNet Ontologies
International Journal of Hybrid Intelligent Systems
An investigation into the stability of contextual document clustering
Journal of the American Society for Information Science and Technology
Expert Systems with Applications: An International Journal
Clustering: A neural network approach
Neural Networks
ART properties of interest in engineering applications
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Autonomous and adaptive identification of topics in unstructured text
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
A Cognitive Framework for Core Language Understanding and its Computational Implementation
International Journal of Cognitive Informatics and Natural Intelligence
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There is a large and continually growing quantity of electronic text available, which contain essential human and organization knowledge. An important research endeavor is to study and develop better ways to access this knowledge. Text clustering is a popular approach to automatically organize textual document collections by topics to help users find the information they need. Adaptive Resonance Theory (ART) neural networks possess several interesting properties that make them appealing in the area of text clustering. Although ART has been used in several research works as a text clustering tool, the level of quality of the resulting document clusters has not been clearly established yet. In this paper, we present experimental results with binary ART that address this issue by determining how close clustering quality is to an upper bound on clustering quality.