Scalable Subspace Logistic Regression Models for High Dimensional Data.
Shuang WangXiaojun ChenJoshua Zhexue HuangShengzhong FengPublished in: APWeb (2012)
Keyphrases
- high dimensional data
- logistic regression models
- variable selection
- logistic regression
- low dimensional
- subspace clustering
- dimensionality reduction
- high dimensional
- regression model
- nearest neighbor
- high dimensionality
- clustering high dimensional data
- data sets
- data points
- dimension reduction
- lower dimensional
- data analysis
- receiver operating characteristic
- high dimensional spaces
- input space
- data distribution
- decision trees
- manifold learning
- subspace learning
- input data
- subspace clusters
- linear discriminant analysis
- tree models
- database
- machine learning
- locally linear embedding
- classification trees
- feature extraction
- pattern recognition
- knn