Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
Journal of Computational and Applied Mathematics
Text representation for intelligent text retrieval: a classification-oriented view
Text-based intelligent systems
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
Viewing morphology as an inference process
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Viewing stemming as recall enhancement
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Corpus-based stemming using cooccurrence of word variants
ACM Transactions on Information Systems (TOIS)
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
A general probabilistic framework for clustering individuals and objects
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Frequent term-based text clustering
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Ontologies Improve Text Document Clustering
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Measures of distributional similarity
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Document representation and multilevel measures of document similarity
NAACL-DocConsortium '06 Proceedings of the 2006 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume: doctoral consortium
A survey of Web clustering engines
ACM Computing Surveys (CSUR)
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Ontology-Based Concept Indexing of Images
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
A comparative study of TF*IDF, LSI and multi-words for text classification
Expert Systems with Applications: An International Journal
Survey of clustering algorithms
IEEE Transactions on Neural Networks
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The aim of document clustering is to produce coherent clusters of similar documents. Clustering algorithms rely on text normalisation techniques to represent and cluster documents. Although most document clustering algorithms perform well in specific knowledge domains, processing cross-domain document repositories is still a challenge. This paper attempts to address this challenge. It investigates the performance of the sk-means clustering algorithm across domains, by comparing the cluster coherence produced with semantic-based and traditional TF-IDF-based document representations. The evaluation is conducted on 20 different generic sub-domains of a thousand documents, each randomly selected from the Reuters21578 corpus. The experimental results obtained from the evaluation demonstrate improved coherence of clusters produced by using a semantically enhanced text stemmer SETS, when compared to the text normalisation obtained with the Porter stemmer. In addition, semantic-based text normalisation is shown to be resistant to noise, which is often introduced in the index aggregation stage, a stage that acquires features to represent documents.