Distance Dimension Reduction on QR Factorization for Efficient Clustering Semantic XML Document Using the QR Fuzzy C-Mean (QR-FCM).
Hsu-Kuang ChangI-Chang JouPublished in: Infoscale (2009)
Keyphrases
- dimension reduction
- singular value decomposition
- qr decomposition
- fuzzy c means
- cluster analysis
- fuzzy clustering
- clustering algorithm
- fcm algorithm
- k means
- clustering method
- high dimensional data analysis
- hard c means
- principal component analysis
- high dimensional data
- decomposition method
- cluster centers
- high dimensionality
- dimensionality reduction
- xml documents
- fuzzy c means algorithm
- intrinsic dimension
- high dimensional
- feature selection
- random projections
- image segmentation
- least squares
- manifold learning
- feature extraction
- fuzzy c means clustering algorithm
- linear discriminant analysis
- distance metric
- euclidean distance
- unsupervised learning
- data mining
- real world
- pattern recognition
- data clustering
- semi supervised