Result 1 to 16 of 16 total
Semi-supervised clustering ensemble based on collaborative training. (English)
Li, Tianrui (ed.) et al., Rough sets and knowledge technology. 7th international conference, RSKT 2012, Chengdu, China, August 17‒20, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-31899-3/pbk). Lecture Notes in Computer Science 7414. Lecture Notes in Artificial Intelligence, 450-455 (2012).
1
Semi-supervised clustering ensemble based on multi-ant colonies algorithm. (English)
Li, Tianrui (ed.) et al., Rough sets and knowledge technology. 7th international conference, RSKT 2012, Chengdu, China, August 17‒20, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-31899-3/pbk). Lecture Notes in Computer Science 7414. Lecture Notes in Artificial Intelligence, 302-309 (2012).
2
A max metric to evaluate a cluster. (English)
Corchado, Emilio (ed.) et al., Hybrid artificial intelligent systems. 7th international conference, HAIS 2012, Salamanca, Spain, March 28‒30, 2012. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-28941-5/pbk). Lecture Notes in Computer Science 7208. Lecture Notes in Artificial Intelligence, 255-266 (2012).
3
Generation of a clustering ensemble based on a gravitational self-organising map. (English)
Neurocomputing 96, 47-56 (2012).
4
An optimization model about clustering ensemble based on matrix transformation. (Chinese)
Math. Pract. Theory 41, No. 12, 165-174 (2011).
5
Clustering ensemble method based on co-occurrence similarity. (Chinese)
J. Comput. Appl. 31, No. 2, 441-445 (2011).
6
A new asymmetric criterion for cluster validation. (English)
San Martin, César (ed.) et al., Progress in pattern recognition, image analysis, computer vision, and applications. 16th Iberoamerican congress, CIARP 2011, Pucón, Chile, November 15‒18, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-25084-2/pbk). Lecture Notes in Computer Science 7042, 320-330 (2011).
7
A clustering-ensemble approach based on voting. (English)
Deng, Hepu (ed.) et al., Artificial intelligence and computational intelligence. Third international conference, AICI 2011, Taiyuan, China, September 24‒25, 2011. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-23880-2/pbk). Lecture Notes in Computer Science 7002. Lecture Notes in Artificial Intelligence, 421-427 (2011).
8
Comparing a clustering density criteria of temporal patterns of terms obtained by different feature sets. (English)
Yao, JingTao (ed.) et al., Rough sets and knowledge technology. 6th international conference, RSKT 2011, Banff, Canada, October 9‒12, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24424-7/pbk). Lecture Notes in Computer Science 6954. Lecture Notes in Artificial Intelligence, 248-257 (2011).
9
Ant colony optimization with Markov random walk for community detection in graphs. (English)
Huang, Joshua Zhexue (ed.) et al., Advances in knowledge discovery and data mining. 15th Pacific-Asia conference, PAKDD 2011, Shenzhen, China, May 24‒27, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-20846-1/pbk). Lecture Notes in Computer Science 6635. Lecture Notes in Artificial Intelligence, 123-134 (2011).
10
A metric to evaluate a cluster by eliminating effect of complement cluster. (English)
Bach, Joscha (ed.) et al., KI 2011: Advances in artificial intelligence. 34th annual German conference on AI, Berlin, Germany, October 4‒7,2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24454-4/pbk). Lecture Notes in Computer Science 7006. Lecture Notes in Artificial Intelligence, 246-254 (2011).
11
A latent variable pairwise classification model of a clustering ensemble. (English)
Sansone, Carlo (ed.) et al., Multiple classifier systems. 10th international workshop, MCS 2011, Naples, Italy, June 15‒17, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-21556-8/pbk). Lecture Notes in Computer Science 6713, 279-288 (2011).
12
Partition selection approach for hierarchical clustering based on clustering ensemble. (English)
Bloch, Isabelle (ed.) et al., Progress in pattern recognition, image analysis, computer vision, and applications. 15th Iberoamerican congress on pattern recognition, CIARP 2010, Sao Paulo, Brazil, November 8‒11, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-16686-0/pbk). Lecture Notes in Computer Science 6419, 525-532 (2010).
13
Core-tag clustering for web 2.0 based on multi-similarity measurements. (English)
Chen, Lei (ed.) et al., Advances in web and network technologies, and information management. Apweb/WAIM 2009 international workshops: WCMT 2009, RTBI 2009, DBIR-ENQOIR 2009, PAIS 2009, Suzhou, China, April 2‒4, 2009. Revised selected papers. Berlin: Springer (ISBN 978-3-642-03995-9/pbk). Lecture Notes in Computer Science 5731, 222-233 (2009).
14
A new efficient approach in clustering ensembles. (English)
Yin, Hujun (ed.) et al., Intelligent data engineering and automated learning ‒ IDEAL 2007. 8th international conference, Birmingham, UK, December 16‒19, 2007. Proceedings. Berlin: Springer (ISBN 978-3-540-77225-5/pbk). Lecture Notes in Computer Science 4881, 395-405 (2007).
15
A comparison of three graph partitioning based methods for consensus clustering. (English)
Wang, Guoyin (ed.) et al., Rough sets and knowledge technology. First international conference, RSKT 2006, Chongqing, China, July 24‒26, 2006. Proceedings. Berlin: Springer (ISBN 978-3-540-36297-5/pbk). Lecture Notes in Computer Science 4062. Lecture Notes in Artificial Intelligence, 468-475 (2006).
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Result 1 to 16 of 16 total
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