Vehicle Type Classification Using PCA with Self-Clustering.
Yu PengJesse S. JinSuhuai LuoMin XuYue CuiPublished in: ICME Workshops (2012)
Keyphrases
- feature extraction
- principal component analysis
- unsupervised learning
- k means
- feature space
- principal components analysis
- unsupervised classification
- decision trees
- supervised classification
- principle component analysis
- svm classifier
- unsupervised clustering
- machine learning
- classification accuracy
- image classification
- feature reduction
- cluster analysis
- clustering method
- classification algorithm
- clustering analysis
- supervised learning
- density estimation
- feature vectors
- training set
- pattern recognition
- support vector
- clustering algorithm
- dimension reduction
- classification method
- pattern classification
- fuzzy clustering
- face images
- support vector machine
- feature selection
- pedestrian detection
- gene expression profiles
- real time
- fisher linear discriminant
- high dimensionality
- self organizing maps
- benchmark datasets
- high dimensional data
- support vector machine svm
- text classification
- dimensionality reduction
- data points
- preprocessing
- face recognition
- data sets