A new clustering classification approach based on FCR.
De-gan ZhangWeiwei LiuXuejing KangYing ChenWenbo DaiPublished in: FSKD (2010)
Keyphrases
- pattern recognition
- clustering algorithm
- image classification
- unsupervised classification
- machine learning
- support vector
- unsupervised clustering
- data points
- unsupervised learning
- text clustering
- classification systems
- automatic classification
- classification models
- cluster analysis
- classification method
- classification algorithm
- feature selection
- decision trees
- feature vectors
- k means
- supervised learning
- gene expression profiles
- feature extraction
- clustering analysis
- training set
- supervised classification
- classification scheme
- data clustering
- classification accuracy
- benchmark datasets
- clustering method
- support vector machine svm
- classification rules
- high dimensionality
- support vector machine
- benchmark data sets
- multi class
- categorical data
- class labels
- machine learning algorithms
- high dimensional data
- image segmentation
- anomaly detection
- text classification