2014
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Menendez, Hector D; Barrero, David F; Camacho, David A Co-Evolutionary Multi-Objective approach for a K-adaptive graph-based clustering algorithm Inproceedings Evolutionary Computation (CEC), 2014 IEEE Congress on, pp. 2724–2731, IEEE 2014. BibTeX | Tags: Clustering, Genetic Algorithms, Graph Theory, Multi-objective Algorithms @inproceedings{menendez2014co,
title = {A Co-Evolutionary Multi-Objective approach for a K-adaptive graph-based clustering algorithm},
author = {Hector D Menendez and David F Barrero and David Camacho},
year = {2014},
date = {2014-01-01},
booktitle = {Evolutionary Computation (CEC), 2014 IEEE Congress on},
pages = {2724--2731},
organization = {IEEE},
keywords = {Clustering, Genetic Algorithms, Graph Theory, Multi-objective Algorithms},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Menéndez, Héctor D; Barrero, David F; Camacho, David A Genetic Graph-based Approach for Partitional Clustering Journal Article International journal of neural systems, 24 (03), 2014. BibTeX | Tags: Clustering, Genetic Algorithms, Graph Theory @article{menendez2014genetic,
title = {A Genetic Graph-based Approach for Partitional Clustering},
author = {Héctor D Menéndez and David F Barrero and David Camacho},
year = {2014},
date = {2014-01-01},
journal = {International journal of neural systems},
volume = {24},
number = {03},
publisher = {World Scientific Publishing Company},
keywords = {Clustering, Genetic Algorithms, Graph Theory},
pubstate = {published},
tppubtype = {article}
}
|
Menendez, Hector D; Camacho, David A Multi-Objective Graph-based Genetic Algorithm for Image Segmentation Inproceedings Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on, pp. 234–241, IEEE 2014. BibTeX | Tags: Clustering, Genetic Algorithms, Graph Theory, Multi-objective Algorithms @inproceedings{menendez2014multi,
title = {A Multi-Objective Graph-based Genetic Algorithm for Image Segmentation},
author = {Hector D Menendez and David Camacho},
year = {2014},
date = {2014-01-01},
booktitle = {Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on},
pages = {234--241},
organization = {IEEE},
keywords = {Clustering, Genetic Algorithms, Graph Theory, Multi-objective Algorithms},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bello-Orgaz, Gema; Camacho, David Evolutionary clustering algorithm for community detection using graph-based information Inproceedings Evolutionary Computation (CEC), 2014 IEEE Congress on, pp. 930–937, IEEE 2014. Links | BibTeX | Tags: Clustering, Community Detection, Genetic Algorithms, Graph Theory @inproceedings{bello2014evolutionary,
title = {Evolutionary clustering algorithm for community detection using graph-based information},
author = {Gema Bello-Orgaz and David Camacho},
url = {http://aida.ii.uam.es/wp-content/uploads/2014/12/CEC14_BelloOrgaz-Camacho.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {Evolutionary Computation (CEC), 2014 IEEE Congress on},
pages = {930--937},
organization = {IEEE},
keywords = {Clustering, Community Detection, Genetic Algorithms, Graph Theory},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2013
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Bello-Orgaz, Gema; Barrero, David.F.; R-Moreno, Maria.D.; Camacho, David Acquisition of Business Intelligence from Human Experience in Route Planning Journal Article Enterprise Information Systems, (Impact Factor: 9.26-Q1), 2013, ISSN: 1751-7575. Links | BibTeX | Tags: Business Intelligence, Data Mining, Genetic Algorithms, Graph Theory @article{Bello-Orgaz:2012:EIS,
title = {Acquisition of Business Intelligence from Human Experience in Route Planning},
author = {Gema Bello-Orgaz and David.F. Barrero and Maria.D. R-Moreno and David Camacho},
editor = {Taylor & Francis},
url = {http://aida.ii.uam.es/wp-content/uploads/2012/12/eis.pdf},
issn = {1751-7575},
year = {2013},
date = {2013-06-22},
journal = {Enterprise Information Systems},
number = {Impact Factor: 9.26-Q1},
keywords = {Business Intelligence, Data Mining, Genetic Algorithms, Graph Theory},
pubstate = {published},
tppubtype = {article}
}
|
Menéndez, David Barrero Héctor F D; Camacho, David A Multi-Objective Genetic Graph-based Clustering Algorithm with Memory Optimization Conference IEEE Congress on Evolutionary Computation (CEC 2013), 2013. Links | BibTeX | Tags: Clustering, Genetic Algorithms, Graph Theory, Multi-objective Algorithms @conference{Hector-2013-CEC,
title = {A Multi-Objective Genetic Graph-based Clustering Algorithm with Memory Optimization},
author = {David Barrero F Héctor D. Menéndez and David Camacho},
url = {https://atc1.aut.uah.es/~david/cec2013/Menendez2013CEC.pdf},
year = {2013},
date = {2013-06-20},
booktitle = {IEEE Congress on Evolutionary Computation (CEC 2013)},
keywords = {Clustering, Genetic Algorithms, Graph Theory, Multi-objective Algorithms},
pubstate = {published},
tppubtype = {conference}
}
|
2012
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Gonzalez-Pardo, Antonio; Camacho, David Maximal Component detection in graphs using swarm-based and genetic algorithms Conference Proceedings of the 6th International Symposium on Intelligent Distributed Computing - IDC 2012, 446 , Studies in Computational Intelligence Springer Berlin Heidelberg, 2012, ISBN: 978-3-642-32523-6. Links | BibTeX | Tags: Ant Colony Optimization, Computational Intelligence, Genetic Algorithms, Graph Theory @conference{2012-GonzalezCamacho,
title = {Maximal Component detection in graphs using swarm-based and genetic algorithms},
author = {Antonio Gonzalez-Pardo and David Camacho},
url = {http://aida.ii.uam.es/wp-content/uploads/2013/07/IDC-2012.pdf},
isbn = {978-3-642-32523-6},
year = {2012},
date = {2012-07-03},
booktitle = {Proceedings of the 6th International Symposium on Intelligent Distributed Computing - IDC 2012},
volume = {446},
pages = {247 – 252},
publisher = {Springer Berlin Heidelberg},
series = {Studies in Computational Intelligence},
keywords = {Ant Colony Optimization, Computational Intelligence, Genetic Algorithms, Graph Theory},
pubstate = {published},
tppubtype = {conference}
}
|
Gonzalez-Pardo, Antonio; Varona, Pablo; Camacho, David; de Rodriguez, Francisco Borja Communication by identity in bio-inspired multi-agent systems Journal Article International Journal Concurrency and Computation: Practice & Experience., 2012 (24), pp. 589-603, 2012, ISSN: 1532-0626. Links | BibTeX | Tags: Graph Theory, Multi-agents systems, Signature Neural Networks @article{12-Gonzalez-Pardo-CCPE,
title = {Communication by identity in bio-inspired multi-agent systems},
author = {Antonio Gonzalez-Pardo and Pablo Varona and David Camacho and Francisco Borja de Rodriguez},
url = {http://aida.ii.uam.es/wp-content/uploads/2012/03/CCPE-GonzalezPardoEtAl.pdf},
issn = {1532-0626},
year = {2012},
date = {2012-03-03},
journal = {International Journal Concurrency and Computation: Practice & Experience.},
volume = {2012},
number = {24},
pages = {589-603},
keywords = {Graph Theory, Multi-agents systems, Signature Neural Networks},
pubstate = {published},
tppubtype = {article}
}
|
Menéndez, Héctor; Camacho, David A Genetic Graph-Based Clustering Algorithm Incollection Yin, Hujun; Costa, José; Barreto, Guilherme (Ed.): Intelligent Data Engineering and Automated Learning - IDEAL 2012, 7435 , pp. 216-225, Springer Berlin / Heidelberg, 2012, ISSN: 978-3-642-32638-7, (10.1007/978-3-642-32639-4_27). Abstract | Links | BibTeX | Tags: clustering techniques, Data Analysis, Data Mining, Graph Theory @incollection{springerlink:10.1007/978-3-642-32639-4_27,
title = {A Genetic Graph-Based Clustering Algorithm},
author = {Héctor Menéndez and David Camacho},
editor = {Hujun Yin and José Costa and Guilherme Barreto},
url = {http://dx.doi.org/10.1007/978-3-642-32639-4_27},
issn = {978-3-642-32638-7},
year = {2012},
date = {2012-01-01},
booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2012},
volume = {7435},
pages = {216-225},
publisher = {Springer Berlin / Heidelberg},
series = {Lecture Notes in Computer Science},
abstract = {The interest in the analysis and study of clustering techniques have grown since the introduction of new algorithms based on the continuity of the data, where problems related to image segmentation and tracking, amongst others, makes difficult the correct classification of data into their appropriate groups, or clusters. Some new techniques, such as Spectral Clustering (SC), uses graph theory to generate the clusters through the spectrum of the graph created by a similarity function applied to the elements of the database. The approach taken by SC allows to handle the problem of data continuity though the graph representation. Based on this idea, this study uses genetic algorithms to select the groups using the same similarity graph built by the Spectral Clustering method. The main contribution is to create a new algorithm which improves the robustness of the Spectral Clustering algorithm reducing the dependency of the similarity metric parameters that currently affects to the performance of SC approaches. This algorithm, named Genetic Graph-based Clustering (GGC), has been tested with different synthetic and real-world datasets, the experimental results have been compared against classical clustering algorithms like K-Means, EM and SC.},
note = {10.1007/978-3-642-32639-4_27},
keywords = {clustering techniques, Data Analysis, Data Mining, Graph Theory},
pubstate = {published},
tppubtype = {incollection}
}
The interest in the analysis and study of clustering techniques have grown since the introduction of new algorithms based on the continuity of the data, where problems related to image segmentation and tracking, amongst others, makes difficult the correct classification of data into their appropriate groups, or clusters. Some new techniques, such as Spectral Clustering (SC), uses graph theory to generate the clusters through the spectrum of the graph created by a similarity function applied to the elements of the database. The approach taken by SC allows to handle the problem of data continuity though the graph representation. Based on this idea, this study uses genetic algorithms to select the groups using the same similarity graph built by the Spectral Clustering method. The main contribution is to create a new algorithm which improves the robustness of the Spectral Clustering algorithm reducing the dependency of the similarity metric parameters that currently affects to the performance of SC approaches. This algorithm, named Genetic Graph-based Clustering (GGC), has been tested with different synthetic and real-world datasets, the experimental results have been compared against classical clustering algorithms like K-Means, EM and SC. |
2011
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Cajias, Raul; González-Pardo, Antonio; Camacho, David A Swarm Simulation Platform For Agent-Based Social Simulations Conference 5th International Symposium on Intelligent Distributed Computing (IDC 2011), 382 , Springer Berlin / Heidelberg, 2011, ISBN: 978-3-642-24012-6. Links | BibTeX | Tags: Graph Theory, Multi-agents systems, Social Networks @conference{11-CajiasEtAl-IDC,
title = {A Swarm Simulation Platform For Agent-Based Social Simulations},
author = {Raul Cajias and Antonio González-Pardo and David Camacho},
url = {http://aida.ii.uam.es/wp-content/uploads/2011/10/IDC-11-CajiasEtAl.pdf},
isbn = {978-3-642-24012-6},
year = {2011},
date = {2011-06-29},
booktitle = {5th International Symposium on Intelligent Distributed Computing (IDC 2011)},
volume = {382},
pages = {265 - 270},
publisher = {Springer Berlin / Heidelberg},
keywords = {Graph Theory, Multi-agents systems, Social Networks},
pubstate = {published},
tppubtype = {conference}
}
|
Bello-Orgaz, Gema; Cajias, Raul; Camacho, David Study on the Impact of Crowd-Based Voting Schemes in the ’Eurovision’ European Contest Inproceedings press, ACM (Ed.): 1st International Conference on Web Intelligence, Mining
and Semantics (WIMS’11), 2011. Links | BibTeX | Tags: Clustering, Data Mining, Graph Theory, Social Networks @inproceedings{BelloCajiasCamacho2011,
title = {Study on the Impact of Crowd-Based Voting Schemes in the ’Eurovision’ European Contest},
author = {Gema Bello-Orgaz and Raul Cajias and David Camacho},
editor = {ACM press},
url = {http://dl.acm.org/citation.cfm?id=1988718
http://aida.ii.uam.es/wp-content/uploads/2012/09/WIMS2011AStudyOnImpact.pdf},
year = {2011},
date = {2011-01-04},
booktitle = {1st International Conference on Web Intelligence, Mining
and Semantics (WIMS’11)},
keywords = {Clustering, Data Mining, Graph Theory, Social Networks},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bello-Orgaz, Gema; Menéndez, Héctor; Camacho, David Using the Clustering Coefficient to Guide a Genetic-Based Communities Finding Algorithm Incollection Yin, Hujun; Wang, Wenjia; Rayward-Smith, Victor (Ed.): Intelligent Data Engineering and Automated Learning - IDEAL 2011, 6936 , pp. 160-169, Springer Berlin / Heidelberg, 2011, ISSN: 978-3-642-23877-2. Links | BibTeX | Tags: Clustering, Genetic Algorithms, Graph Theory @incollection{springerlink:10.1007/978-3-642-23878-9_20,
title = {Using the Clustering Coefficient to Guide a Genetic-Based Communities Finding Algorithm},
author = {Gema Bello-Orgaz and Héctor Menéndez and David Camacho},
editor = {Hujun Yin and Wenjia Wang and Victor Rayward-Smith},
url = {http://dx.doi.org/10.1007/978-3-642-23878-9_20
http://aida.ii.uam.es/wp-content/uploads/2012/09/IDEAL2011UsingClustering.pdf},
issn = {978-3-642-23877-2},
year = {2011},
date = {2011-01-01},
booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2011},
volume = {6936},
pages = {160-169},
publisher = {Springer Berlin / Heidelberg},
series = {Lecture Notes in Computer Science},
keywords = {Clustering, Genetic Algorithms, Graph Theory},
pubstate = {published},
tppubtype = {incollection}
}
|
2010
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Gonzalez-Pardo, Antonio; Varona, Pablo; Camacho, David; de Rodriguez, Francisco Borja Optimal message interchange in a self-organizing multi-agent system Conference Intelligent Distributed Computing IV, 315 , Studies in Computational Intelligence IV Springer Verlag Berlin Heidelberg, 2010, ISSN: 978-3-642-15210-8. Links | BibTeX | Tags: Graph Theory, Multi-agents systems, Signature Neural Networks @conference{10-Gonzalez-Pardo-IDC,
title = {Optimal message interchange in a self-organizing multi-agent system},
author = {Antonio Gonzalez-Pardo and Pablo Varona and David Camacho and Francisco Borja de Rodriguez},
editor = {Mohammad Essaaidi and Michele Malgeri and Costin Badica},
url = {http://aida.ii.uam.es/wp-content/uploads/2011/09/IDC-GonzalezEtAl.pdf},
issn = {978-3-642-15210-8},
year = {2010},
date = {2010-09-16},
booktitle = {Intelligent Distributed Computing IV},
volume = {315},
pages = {131 - 141},
publisher = {Springer Verlag Berlin Heidelberg},
series = {Studies in Computational Intelligence IV},
keywords = {Graph Theory, Multi-agents systems, Signature Neural Networks},
pubstate = {published},
tppubtype = {conference}
}
|
