Research on Traffic Classification for Space-Ground Integrated Network Based on Feature Clustering.
Lei GuZhongliang DengYicheng LiaoKe WangWenliang LinXiaoyi YuHao LiuYang LiuXiangfeng KongPublished in: ICIT (2021)
Keyphrases
- feature vectors
- supervised classification
- unsupervised learning
- unsupervised clustering
- feature extraction
- machine learning algorithms
- decision trees
- pattern recognition
- space time
- classification algorithm
- classification accuracy
- feature set
- high dimensionality
- clustering analysis
- pattern classification
- feature analysis
- text classification
- feature representation
- classification scheme
- clustering method
- image classification
- supervised learning
- k means
- real time
- preprocessing
- machine learning
- unsupervised classification
- feature importance
- preprocessing stage
- space reduction
- categorical data
- density estimation
- data clustering
- cluster analysis
- classification method
- image features
- support vector machine
- automatic classification
- classification models
- feature subset
- gene expression profiles
- feature weights
- class labels
- feature space