A probabilistic approach to outdoor localization using clustering and principal component transformations.
Kejiong LiJohn BighamLaurissa N. TokarchukEliane L. BodanesePublished in: IWCMC (2013)
Keyphrases
- principal components
- principal component analysis
- principal components analysis
- clustering algorithm
- dimensionality reduction
- multivariate data
- principal component regression
- information theoretic
- clustering method
- bayesian networks
- kernel space
- data points
- hyperplane
- k means
- hierarchical clustering
- spectral clustering
- feature set
- principal curves
- unsupervised learning
- generative model
- data clustering
- covariance matrix
- probabilistic model
- uncertain data
- surveillance system
- categorical data
- linear classifiers
- upper bound
- high dimensionality
- correlation coefficient
- outlier detection
- high dimensional
- neural network