Implementing agglomerative hierarchic clustering algorithms for use in document retrieval
Information Processing and Management: an International Journal
Measuring retrieval effectiveness based on user preference of documents
Journal of the American Society for Information Science
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Bipartite graph partitioning and data clustering
Proceedings of the tenth international conference on Information and knowledge management
Generating hierarchical summaries for web searches
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Concept Data Analysis: Theory and Applications
Concept Data Analysis: Theory and Applications
A Concept-Driven Algorithm for Clustering Search Results
IEEE Intelligent Systems
Generative semantic clustering in spatial hypertext
Proceedings of the 2005 ACM symposium on Document engineering
Construction of query concepts based on feature clustering of documents
Information Retrieval
A fuzzy clustering approach for finding similar documents using a novel similarity measure
Expert Systems with Applications: An International Journal
Co-clustering based classification for out-of-domain documents
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Possibilistic fuzzy co-clustering of large document collections
Pattern Recognition
DIVCLUS-T: A monothetic divisive hierarchical clustering method
Computational Statistics & Data Analysis
Text document clustering based on frequent word meaning sequences
Data & Knowledge Engineering
Context recognition using internet as a knowledge base
Journal of Intelligent Information Systems
k-Attractors: A Clustering Algorithm for Software Measurement Data Analysis
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
A personalized search engine based on Web-snippet hierarchical clustering
Software—Practice & Experience
Query Recommendation for Improving Search Engine Results
International Journal of Information Retrieval Research
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In this paper, we present a novel clustering algorithm to generate a number of candidate clusters from other web search results. The candidate clusters generate a connective relation among the clusters and the relation is semantic. Moreover, the algorithm also contains the following attractive properties: (1) it can be applied to multilingual web documents, (2) it improves the clustering performance of any search engine, (3) its unsupervised learning can automatically identify potentially relevant knowledge without using any corpus, and (4) clustering results are generated on the fly and fitted into search engines.