Kernel Dimensionality Reduction evaluation on various dimensions of effective subspaces for cancer patient survival analysis.
Yoon Soon ChinIto WasitoSiti Zaiton Mohd HashimPublished in: ISSPA (2010)
Keyphrases
- dimensionality reduction
- survival analysis
- breast cancer
- low dimensional
- principal component analysis
- high dimensional data
- high dimensional
- feature space
- support vector
- data points
- feature extraction
- evolutionary computation
- machine learning
- predictive modeling
- patient data
- kernel methods
- medical images
- computational intelligence
- evolutionary algorithm