Classification of Colorectal Cancer Using Clustering and Feature Selection Approaches.
Hui Wen NiesKauthar Mohd DaudMuhammad Akmal bin RemliMohd Saberi MohamadSafaai DerisSigeru OmatuShahreen KasimGhazali SulongPublished in: PACBB (2017)
Keyphrases
- feature selection
- unsupervised learning
- high dimensionality
- classification accuracy
- feature extraction
- feature selection algorithms
- text classification
- unsupervised feature selection
- text categorization
- colorectal cancer
- microarray data analysis
- machine learning
- feature set
- irrelevant features
- feature space
- support vector machine
- support vector
- decision trees
- classification models
- data mining and pattern recognition
- class separability
- supervised and unsupervised learning
- feature vectors
- mutual information
- machine learning methods
- data pre processing
- microarray data
- dimension reduction
- discriminative features
- information gain
- supervised learning
- supervised classification
- method for feature selection
- automatic relevance determination
- machine learning algorithms
- classification algorithm
- classification performances
- pattern recognition
- high dimensional
- multi class
- supervised learning tasks
- model selection
- clustering approaches
- small sample
- feature ranking
- data mining tasks
- support vector machine svm
- naive bayes
- data clustering
- clustering method
- classification method