Ant colony metaphor in a new clustering algorithm
Urszula Boryczka (2010)
Control and Cybernetics
Similarity:
Urszula Boryczka (2010)
Control and Cybernetics
Similarity:
Ohn San, Van-Nam Huynh, Yoshiteru Nakamori (2004)
International Journal of Applied Mathematics and Computer Science
Similarity:
Most of the earlier work on clustering has mainly been focused on numerical data whose inherent geometric properties can be exploited to naturally define distance functions between data points. Recently, the problem of clustering categorical data has started drawing interest. However, the computational cost makes most of the previous algorithms unacceptable for clustering very large databases. The -means algorithm is well known for its efficiency in this respect. At the same time, working...
Ireneusz Czarnowski, Piotr Jędrzejowicz (2011)
International Journal of Applied Mathematics and Computer Science
Similarity:
The problem considered concerns data reduction for machine learning. Data reduction aims at deciding which features and instances from the training set should be retained for further use during the learning process. Data reduction results in increased capabilities and generalization properties of the learning model and a shorter time of the learning process. It can also help in scaling up to large data sources. The paper proposes an agent-based data reduction approach with the learning...
Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng (2005)
Computer Science and Information Systems
Similarity:
Liming Yuan, Jiafeng Liu, Xianglong Tang (2014)
International Journal of Applied Mathematics and Computer Science
Similarity:
Anna Bartkowiak (1975)
Applicationes Mathematicae
Similarity:
Zou, Wenping, Zhu, Yunlong, Chen, Hanning, Sui, Xin (2010)
Discrete Dynamics in Nature and Society
Similarity:
Jerzy Stefanowski, Dawid Weiss (2007)
Control and Cybernetics
Similarity:
Michał Woźniak, Bartosz Krawczyk (2012)
International Journal of Applied Mathematics and Computer Science
Similarity:
This paper presents a significant modification to the AdaSS (Adaptive Splitting and Selection) algorithm, which was developed several years ago. The method is based on the simultaneous partitioning of the feature space and an assignment of a compound classifier to each of the subsets. The original version of the algorithm uses a classifier committee and a majority voting rule to arrive at a decision. The proposed modification replaces the fairly simple fusion method with a combined classifier,...
Piotr Kulczycki, Szymon Łukasik (2014)
International Journal of Applied Mathematics and Computer Science
Similarity:
Kristian Sabo (2014)
International Journal of Applied Mathematics and Computer Science
Similarity:
Marcin Gorawski, Tadeusz Morzy, Robert Wrembel (2009)
Control and Cybernetics
Similarity:
Goran Martinović, Dražen Bajer, Bruno Zorić (2014)
International Journal of Applied Mathematics and Computer Science
Similarity: