A fast fixed-point algorithm for independent component analysis
Neural Computation
Machine Learning - Special issue on learning with probabilistic representations
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to variable and feature selection
The Journal of Machine Learning Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
A decision tree-based attribute weighting filter for naive Bayes
Knowledge-Based Systems
Two-stage classification methods for microarray data
Expert Systems with Applications: An International Journal
Integration of independent component analysis and neural networks for ECG beat classification
Expert Systems with Applications: An International Journal
Techniques for clustering gene expression data
Computers in Biology and Medicine
Extended Naive Bayes classifier for mixed data
Expert Systems with Applications: An International Journal
International Journal of Computer Mathematics - Bioinformatics
Selection of significant independent components for ECG beat classification
Expert Systems with Applications: An International Journal
Cluster analysis of genome-wide expression data for feature extraction
Expert Systems with Applications: An International Journal
Feature selection for text classification with Naïve Bayes
Expert Systems with Applications: An International Journal
Symbolic hierarchical analysis in currency markets: An application to contagion in currency crises
Expert Systems with Applications: An International Journal
An expert system to classify microarray gene expression data using gene selection by decision tree
Expert Systems with Applications: An International Journal
Using the self organizing map for clustering of text documents
Expert Systems with Applications: An International Journal
A sequential feature extraction approach for naïve bayes classification of microarray data
Expert Systems with Applications: An International Journal
Bayesian Classification of Cork Stoppers Using Class-Conditional Independent Component Analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
On the selection and classification of independent features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Expert Systems with Applications: An International Journal
Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Accurate classification of microarray data is very important for medical decision making. Past studies have shown that class-conditional independent component analysis (CC-ICA) is capable of improving the performance of naive Bayes classifier in microarray data analysis. However, when a microarray dataset has a small number of samples for some classes, the application of CC-ICA may become infeasible. This paper extends CC-ICA and proposes a partition-conditional independent component analysis (PC-ICA) method for naive Bayes classification of microarray data. Compared to ICA and CC-ICA, PC-ICA represents an in-between concept for feature extraction. Our experimental results on two microarray datasets show that PC-ICA is more effective than ICA in improving the performance of naive Bayes classification of microarray data.