@InProceedings{SilvaCupeZhao:2011:StCoLe,
author = "Silva, Thiago Christiano and Cupertino, Thiago Henrique and Zhao,
Liang",
affiliation = "Department of Computer Sciences, Institute of Mathematics and
Computer Science (ICMC), University of S{\~a}o Paulo (USP) and
Department of Computer Sciences, Institute of Mathematics and
Computer Science (ICMC), University of S{\~a}o Paulo (USP) and
Department of Computer Sciences, Institute of Mathematics and
Computer Science (ICMC), University of S{\~a}o Paulo (USP)",
title = "Stochastic Competitive Learning Applied to Handwritten Digit and
Letter Clustering",
booktitle = "Proceedings...",
year = "2011",
editor = "Lewiner, Thomas and Torres, Ricardo",
organization = "Conference on Graphics, Patterns and Images, 24. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "stochastic competitive learning, handwritten pattern clustering.",
abstract = "Competitive learning is an important mechanism for data clustering
and pattern recognition. In this paper, we present a rigorous
definition of a new type of competitive learning scheme realized
on large scale networks. In this model, several particles walk in
the network and compete with each other to occupy as many nodes as
possible, while attempting to reject intruder particles. As a
result, each particle will dominate a cluster of the network.
Moreover, we propose an efficient method for determining the right
number of clusters by using the information generated by the
competition process itself, avoiding the calculation of an
external evaluating index. In this work, we apply the model to
handwritten data clustering. Computer simulations reveal that the
proposed technique obtains satisfactory cluster detection
accuracy.",
conference-location = "Macei{\'o}, AL, Brazil",
conference-year = "28-31 Aug. 2011",
doi = "10.1109/SIBGRAPI.2011.35",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2011.35",
language = "en",
ibi = "8JMKD3MGPBW34M/39TRMQ5",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/39TRMQ5",
targetfile = "SIBGRAPI2011_ParticleCompetition.pdf",
urlaccessdate = "2024, Apr. 29"
}