Policy-Oriented Object Ranking with High-Dimensional Data: A Case Study of Olympic Host Country or Region Selection.
Hengrui CuiJiaxing HeWeixin ZengPublished in: WISA (2023)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensional
- low dimensional
- nearest neighbor
- data sets
- high dimensionality
- subspace clustering
- high dimensions
- similarity search
- data points
- original data
- d objects
- linear discriminant analysis
- dimension reduction
- data analysis
- manifold learning
- variable selection
- subspace learning
- data distribution
- clustering high dimensional data
- input space
- sparse representation
- high dimensional spaces
- lower dimensional
- high dimensional datasets
- input data
- dimensional data
- variable weighting
- small sample size
- high dimensional data sets
- text data
- principal component analysis
- moving objects
- face recognition
- machine learning