Multi-class Classification for Breast Cancer with High Dimensional Microarray Data Using Machine Learning Classifier.
Mohammad Nasir AbdullahBee Wah YapNik Nur Fatin Fatihah SapriWan Fairos Wan YaacobPublished in: DaSET (2022)
Keyphrases
- microarray data
- breast cancer
- multi class classification
- feature selection
- high dimensional
- machine learning
- multi class
- support vector
- binary classifiers
- logistic regression
- support vector machine
- binary classification
- microarray
- feature space
- early detection
- decision trees
- gene expression data
- high dimensionality
- feature set
- training samples
- svm classifier
- fold cross validation
- learning algorithm
- text classification
- gene expression
- text categorization
- data sets
- gene selection
- pattern recognition
- dimensionality reduction
- low dimensional
- learning problems
- machine learning algorithms
- classification accuracy
- machine learning methods
- model selection
- cross validation
- training set
- classification models
- data analysis
- cluster analysis
- kernel methods
- learning tasks
- active learning
- microarray datasets
- feature ranking
- data mining
- unsupervised learning
- text mining
- nearest neighbor
- pairwise
- naive bayes
- data mining techniques
- knn
- knowledge discovery
- feature vectors
- gene expression profiles