Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
Journal of Computational and Applied Mathematics
ACM Computing Surveys (CSUR)
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Validation indices for graph clustering
Pattern Recognition Letters - Special issue: Graph-based representations in pattern recognition
Textual Similarities Based on a Distributional Approach
DEXA '99 Proceedings of the 10th International Workshop on Database & Expert Systems Applications
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
THESUS: Organizing Web document collections based on link semantics
The VLDB Journal — The International Journal on Very Large Data Bases
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Clustering and Information Retrieval (Network Theory and Applications)
Clustering and Information Retrieval (Network Theory and Applications)
Algorithmic detection of semantic similarity
WWW '05 Proceedings of the 14th international conference on World Wide Web
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Computational Linguistics
Learning morphological disambiguation rules for Turkish
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
A fuzzy clustering approach for finding similar documents using a novel similarity measure
Expert Systems with Applications: An International Journal
Measuring semantic similarity between words using web search engines
Proceedings of the 16th international conference on World Wide Web
Personalized Hierarchical Clustering
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Comparison of Semantic and Single Term Similarity Measures for Clustering Turkish Documents
ICMLA '07 Proceedings of the Sixth International Conference on Machine Learning and Applications
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Measuring the semantic similarity of texts
EMSEE '05 Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment
Biological cluster validity indices based on the gene ontology
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
An Ontology Based Model for Document Clustering
International Journal of Intelligent Information Technologies
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
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Text clustering has become an important part of the web data organization with the rapid growth of the World Wide Web (www). Clustering simplifies web search engine work by grouping large amount of documents, retrieved according to a given query. Similarity measures used in clustering affect the output of the grouping directly. Most of the document clustering techniques rely on single term analysis of text, such as vector space model. In order to improve grouping of Turkish documents, we investigate several similarity measures based on the semantic similarity of terms. Moreover, some techniques for calculating documents similarity are studied. The aim of this paper is to study the effects of semantic and single term similarity measures to the clustering results of Turkish documents. All experiments are carried out on Turkish web sites, taking into account the relationships of terms based on the ontology for the Turkish language.