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2014, Chapman & Hall/CRC data mining and knowledge discovery series, ISBN 9781466558212, xxv1, 622 pages
"Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario... 
Cluster analysis | Document clustering | File organization (Computer science) | COMPUTERS / Machine Theory | Machine theory | BUSINESS & ECONOMICS / Statistics | Data mining | COMPUTERS / Database Management / Data Mining
Book
ACM Computing Surveys (CSUR), ISSN 0360-0300, 10/2011, Volume 43, Issue 4, pp. 1 - 41
Journal Article
Journal of intelligent information systems, ISSN 0925-9902, 12/2001, Volume 17, Issue 2, pp. 107 - 145
.... Especially, in the last years the availability of huge transactional and experimental data sets and the arising requirements for data mining created needs for clustering algorithms that scale... 
Data Structures, Cryptology and Information Theory | validity indices | clustering algorithms | Computer Science | Artificial Intelligence (incl. Robotics) | Document Preparation and Text Processing | Business Information Systems | unsupervised learning | cluster validity | Cluster validity | Clustering algorithms | Validity indices | Unsupervised learning | Analysis | Methods | Algorithms | Learning | Studies | Information systems
Journal Article
Pattern recognition, ISSN 0031-3203, 03/2019, Volume 87, pp. 1 - 16
•A clustering framework is proposed for clustering noisy form images.•Novel algorithms for matching text lines and rule lines are introduced.•We show 44... 
Form processing | Clustering | Historical document processing | Document image clustering | Document analysis | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Analysis | Algorithms | Document processing
Journal Article
Expert systems with applications, ISSN 0957-4174, 06/2014, Volume 41, Issue 7, pp. 3204 - 3212
Journal Article
Information sciences, ISSN 0020-0255, 01/2013, Volume 220, pp. 269 - 291
Clustering has become an increasingly important and highly complicated research area for targeting useful and relevant information in modern application domains such as the World Wide Web... 
K-means | Document clustering | Harmony search | Hybridization | Stochastic optimization | Computer science | Markov processes | Algorithms | Universities and colleges | Analysis
Journal Article
Engineering applications of artificial intelligence, ISSN 0952-1976, 08/2018, Volume 73, pp. 111 - 125
.... Hence, the applicability of this algorithm for text document clustering is investigated in this work... 
Text document clustering | Hybridization | Combination of objective functions | Krill herd algorithm | K-mean algorithm | Mathematical optimization | Algorithms
Journal Article
Knowledge-based systems, ISSN 0950-7051, 07/2010, Volume 23, Issue 5, pp. 379 - 388
Frequent itemset originates from association rule mining. Recently, it has been applied in text mining such as document categorization, clustering, etc... 
Frequent itemsets | Document clustering | Competitive learning | Similarity measure | Maximum Capturing | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
Journal Article
Journal of Testing and Evaluation, ISSN 0090-3973, 11/2019, Volume 47, Issue 6, pp. 4096 - 4107
Clustering web documents involves the use of a large amount of words to be inputted to clustering algorithms such as K-Means, Cosine Similarity, Latent Discelet Allocation, and so on... 
Web documents clustering | Web link clustering | Clustering | Materials Science | Materials Science, Characterization & Testing | Technology | Science & Technology
Journal Article
Machine learning, ISSN 0885-6125, 07/2004, Volume 56, Issue 1-3, pp. 89 - 113
Journal Article