Result 1 to 20 of 55 total
Additive spectral method for fuzzy cluster analysis of similarity data including community structure and affinity matrices. (English)
Inf. Sci. 183, No. 1, 16-34 (2012).
1
Thematic fuzzy clusters with an additive spectral approach. (English)
Antunes, Luis (ed.) et al., Progress in artificial intelligence. 15th Portuguese conference on artificial intelligence, EPIA 2011, Lisbon, Portugal, October 10‒13, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24768-2/pbk). Lecture Notes in Computer Science 7026. Lecture Notes in Artificial Intelligence, 446-461 (2011).
2
Developing additive spectral approach to fuzzy clustering. (English)
Kuznetsov, Sergei O. (ed.) et al., Rough sets, fuzzy sets, data mining and granular computing. 13th international conference, RSFDGrC 2011, Moscow, Russia, June 25‒27, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-21880-4/pbk). Lecture Notes in Computer Science 6743. Lecture Notes in Artificial Intelligence, 273-277 (2011).
3
How to visualize a crisp or fuzzy topic set over a taxonomy. (English)
Kuznetsov, Sergei O. (ed.) et al., Pattern recognition and machine intelligence. 4th international conference, PReMI 2011, Moscow, Russia, June 27 ‒ July 1, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-21785-2/pbk). Lecture Notes in Computer Science 6744, 3-12 (2011).
4
Automatic identification of oceanic eddies in infrared satellite images (English)
Computers & Geosciences 37, No. 11, 1783-1792 (2011).
5
A survey of hierarchical classification across different application domains (English)
Data Min. Knowl. Discov. 22, No. 1-2, 31-72 (2011).
6
Feature set comparison for automatic bird species identification (English)
SMC, 965-970 (2011).
7
Thematic fuzzy clusters with an additive spectral approach (English)
EPIA, 446-461 (2011).
8
Developing additive spectral approach to fuzzy clustering (English)
RSFDGrC, 273-277 (2011).
9
How to visualize a crisp or fuzzy topic set over a taxonomy (English)
PReMI, 3-12 (2011).
10
Building fuzzy thematic clusters and mapping them to higher ranks in a taxonomy. (English)
Int. J. Softw. Inform. 4, No. 3, 257-275 (2010).
11
Constructing and mapping fuzzy thematic clusters to higher ranks in a taxonomy. (English)
Bi, Yaxin (ed.) et al., Knowledge science, engineering and management. 4th international conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1‒3, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-15279-5/pbk). Lecture Notes in Computer Science 6291. Lecture Notes in Artificial Intelligence, 329-340 (2010).
12
A hybrid cluster-lift method for the analysis of research activities. (English)
Graña Romay, Manuel (ed.) et al., Hybrid artificial intelligence systems. 5th international conference, HAIS 2010, San Sebastián, Spain, June 23‒25, 2010. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-13768-6/pbk). Lecture Notes in Computer Science 6076. Lecture Notes in Artificial Intelligence, 152-161 (2010).
13
Cluster-lift method for mapping research activities over a concept tree. (English)
Koronacki, Jacek (ed.) et al., Advances in machine learning II. Dedicated to the memory of Professor Ryszard S. Michalski. Berlin: Springer (ISBN 978-3-642-05178-4/hbk; 978-3-642-05179-1/ebook). Studies in Computational Intelligence 263, 245-257 (2010).
14
A reinforcement learning adaptive fuzzy controller for differential games (English)
Journal of Intelligent and Robotic Systems 59, No. 1, 3-30 (2010).
15
Cluster-lift method for mapping research activities over a concept tree (English)
Advances in Machine Learning II, 245-257 (2010).
16
Improving automatic music genre classification with hybrid content-based feature vectors (English)
SAC, 1702-1707 (2010).
17
A hybrid cluster-lift method for the analysis of research activities (English)
HAIS (1), 152-161 (2010).
18
Constructing and mapping fuzzy thematic clusters to higher ranks in a taxonomy (English)
KSEM, 329-340 (2010).
19
Unsupervised fuzzy clustering for the segmentation and annotation of upwelling regions in sea surface temperature images. (English)
Gama, João (ed.) et al., Discovery science. 12th international conference, DS 2009, Porto, Portugal, October 3‒5. 2009. Berlin: Springer (ISBN 978-3-642-04746-6/pbk). Lecture Notes in Computer Science 5808. Lecture Notes in Artificial Intelligence, 212-226 (2009).
20
Result 1 to 20 of 55 total
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