We performed simulations for comparing three approaches of LVQ neural network: Kohonen's LVQ, Adaptive LVQ and the proposed AFLVQ. From the results, we conclude that the proposed hybrid Adaptive-Fuzzy-LVQ algorithm outperforms several other methods in terms of classification accuracy and smoothness ...
First, we describe a highly efficient emph{local} algorithm which can be used to monitor a wide class of data mining models. Then, we use this algorithm as a feedback loop for the monitoring of complex functions of the data such as its $k$-means clustering. The theoretical claims are ...
Fast Algorithm for Mining Association Rules in Large Databases Association rules have been used in data mining applications to capture relationships present among attributes in large data sets. It can be adapted to cap... R Agrawal - Proc Very Large Data Bases Conference 被引量: 1.1万发表: 1994...
It uses various machine learning techniques (Ridge regression, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for ...
Data set In order to evaluate the effectiveness of the proposed algorithm, 600 fault images were randomly selected from the UAV inspection data provided by a PV plant operation and maintenance company. Meanwhile, to ensure the sample completeness, motion blur images were obtained by moving 8 pixels...
Keywords: wireless sensor networks; node fault diagnosis method; fire detection; adaptive; Discrete Hopfield Neural Network; fuzzy C-means algorithm; fuzzy inference1. Introduction As user demands for network reliability and sustainability increase, research and innovation in hardware design, calculation pr...
(IJACSA) International Journal of Advanced Computer Science and Applications, A New Algorithm for Data Compression Optimization Suarjaya ," A New Algorithm for Data Compression Optimization", International Journal of Advanced Computer Science and Applications (IJACSA), Vol 3, 2012.Suarjaya.I.M.A.D....
Affinity propagation (AP) was recently introduced as an unsupervised learning algorithm for exemplar-based clustering. We present a derivation of AP that i... IE Givoni,BJ Frey - 《Neural Computation》 被引量: 220发表: 2009年 Hierarchical Affinity Propagation Affinity propagation is an exemplar-bas...
1. Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks 作者: Jingbang Chen, Qiuyang Mang, Hangrui Zhou, Richard Peng, Yu Gao, Chenhao Ma* 注:Jingbang Chen、Qiuyang Mang 和 Hangrui Zhou ...
5.0.1 statistical algorithm, and the data were mined using FileMaker Pro 6.0 v. 4 and the Drosophila genome annotation v. 3.1. Specific RT-PCR reactions were performed using dT-primed cDNA reverse transcribed with SuperScript II reverse transcriptase (Invitrogen) following the manufacturer's ...