A hyper-spectral Data Unsupervised Classification Method Combining Linear Projection and Gaussian Mixture Model.
Wenchao LiSheng LiuHao DingLiang HeZhenhua ChenQingliang LiKaichuang XuePublished in: ICCIP (2023)
Keyphrases
- classification method
- gaussian mixture model
- spectral data
- linear projection
- mixture model
- dimensionality reduction
- principal components
- support vector machine
- text classification
- feature vectors
- knn
- k nearest neighbor
- feature space
- support vector machine svm
- em algorithm
- partial least squares
- unsupervised learning
- dimension reduction
- remote sensing
- classification algorithm
- linear discriminant analysis
- maximum likelihood
- expectation maximization
- hyperspectral
- supervised learning
- high dimensional
- gaussian distribution
- model selection
- generative model
- least squares
- semi supervised
- computer vision
- principal component analysis
- prior knowledge
- bayesian networks