Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion.
Kim-Han ThungPew-Thian YapEhsan Adeli-MosabbebDinggang ShenPublished in: MICCAI (3) (2015)
Keyphrases
- low rank
- matrix completion
- subspace clustering
- high dimensional data
- high dimensional
- dimensionality reduction
- nearest neighbor
- rank minimization
- data points
- low dimensional
- high dimensionality
- singular values
- missing data
- data sets
- clustering method
- low rank matrix
- matrix factorization
- kernel matrix
- trace norm
- norm minimization
- convex optimization
- linear combination
- affinity matrix
- high order
- singular value decomposition
- missing values
- sparse representation
- data analysis
- clustering algorithm
- rank aggregation
- collaborative filtering
- neural network
- image classification
- semi supervised