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SEP/COP: An efficient method to find the best partition in hierarchical clustering based on a new cluster validity index.

I. Gurrutxaga, I. Albisua, O. Arbelaitz, J. Martín, J. Muguerza, J. Pérez, and I. Perona. Pattern Recognit., 43 (10): 3364-3373 (2010)

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José Ignacio Zorzin

José Ignacio Barradas Bribiesca

José Ignacio Campino Johnson

José Ignacio Gutiérrez Díaz

José Martín Palma

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A modular neural network approach to fault diagnosis.C. Lafuente, S. Rementeria, J. Martín, A. Lafuente, J. Muguerza, and J. Pérez. IEEE Trans. Neural Networks, 7 (2): 326-340 (1996)Introducing Parallelism In Power System Diagnosis.C. Rodríguez, J. Muguerza, J. Martín, A. Lafuente, and S. Rementeria. PDP, page 85-92. IEEE, (1994)A Hierarchical BCI System Able to Discriminate between Non Intentional Control State and Four Intentional Control Activities.J. Abascal, A. Arruti, J. Martín, and J. Muguerza. PhyCS, page 91-97. SciTePress, (2014)Hierarchical Classifiers based on Neighbourhood Criteria with Adaptive Computational Cost.C. Rodríguez, I. Arriola, J. Muguerza, J. Martín, and G. Álvarez. PRIS, page 127-138. ICEIS Press, (2001)A two-stage classifier for broken and blurred digits in forms.C. Rodríguez, J. Muguerza, M. Navarro, A. Zárate, J. Martín, and J. Pérez. ICPR, page 1101-1105. IEEE Computer Society, (1998)Consolidated Trees: Classifiers with Stable Explanation. A Model to Achieve the Desired Stability in Explanation.J. Pérez, J. Muguerza, O. Arbelaitz, I. Gurrutxaga, and J. Martín. ICAPR (1), volume 3686 of Lecture Notes in Computer Science, page 99-107. Springer, (2005)A Self-Paced Relaxation Response Detection System Based on Galvanic Skin Response Analysis.R. Martínez, A. Salazar-Ramirez, A. Arruti, E. Irigoyen, J. Martín, and J. Muguerza. IEEE Access, (2019)SEP/COP: An efficient method to find the best partition in hierarchical clustering based on a new cluster validity index.I. Gurrutxaga, I. Albisua, O. Arbelaitz, J. Martín, J. Muguerza, J. Pérez, and I. Perona. Pattern Recognit., 43 (10): 3364-3373 (2010)Hierarchical classifiers based on neighbourhood criteria with adaptive computational cost.C. Lafuente, I. Arriola, J. Muguerza, J. Martín, and G. Álvarez. Pattern Recognit., 35 (12): 2761-2769 (2002)SIHC: A Stable Incremental Hierarchical Clustering Algorithm.I. Gurrutxaga, O. Arbelaitz, J. Martín, J. Muguerza, J. Pérez, and I. Perona. ICEIS (2), page 300-304. (2009)

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Disambiguation of "Martín, José Ignacio"

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SEP/COP: An efficient method to find the best partition in hierarchical clustering based on a new cluster validity index.

Please choose a person to relate this publication to

José Ignacio Zorzin

José Ignacio Barradas Bribiesca

José Ignacio Campino Johnson

José Ignacio Gutiérrez Díaz

José Martín Palma

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Martín, José Ignacio"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML SEP/COP: An efficient method to find the best partition in hierarchical clustering based on a new cluster validity index.

Please choose a person to relate this publication to

José Ignacio Zorzin

José Ignacio Barradas Bribiesca

José Ignacio Campino Johnson

José Ignacio Gutiérrez Díaz

José Martín Palma

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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SEP/COP: An efficient method to find the best partition in hierarchical clustering based on a new cluster validity index.