Anti-drift in electronic nose via dimensionality reduction: a discriminative subspace projection approach.
Zhengkun YiCheng LiPublished in: CoRR (2019)
Keyphrases
- subspace projection
- dimensionality reduction
- electronic nose
- principal component analysis
- linear discriminant analysis
- feature extraction
- feature space
- discriminant analysis
- unsupervised learning
- feature selection
- high dimensional data
- quality evaluation
- subspace clusters
- low dimensional
- machine vision
- cancer diagnosis
- subspace clustering
- high dimensionality
- face recognition
- component analysis
- high dimensional
- lower dimensional
- face images
- random projections
- hyperspectral imagery
- independent component analysis
- face identification
- pattern recognition
- feature vectors
- feature set
- semi supervised
- high quality
- support vector machine svm
- neural network
- support vector
- data points
- data mining