Detecting and Coloring Anomalies in Real Cellular Network Using Principle Component Analysis.
Yoram SegalDan VilenchikOfer HadarPublished in: CSCML (2018)
Keyphrases
- principle component analysis
- cellular networks
- mobile users
- face recognition
- independent component analysis
- anomaly detection
- wireless networks
- dimension reduction
- high dimensional
- principal component analysis
- mobile phone
- base station
- feature extraction
- svm classifier
- objective function
- mobile networks
- kernel pca
- machine learning