529 search results - page 35 / 106 » A Novel Hybrid Neural Network for Data Clustering |
105
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KBS
2002
14 years 11 months ago
2002
In this paper, a hybrid learning approach named HDT is proposed. HDT simulates human reasoning by using symbolic learning to do qualitative analysis and using neural learning to d...
IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
— This paper proposes an algorithm to deal with the feature selection in Gaussian mixture clustering by an iterative way: the algorithm iterates between the clustering and the un...
ICANN
2007
Springer
15 years 6 months ago
2007
Springer
The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...
106
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ICDM
2002
IEEE
15 years 4 months ago
2002
IEEE
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
BMCBI
2007
14 years 12 months ago
2007
Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...