Research on TOD Based on Isomap and K-means Clustering Algorithm.
Chaojun DongYuanying SuXiankun LiuPublished in: FSKD (1) (2009)
Keyphrases
- dimension reduction
- nonlinear dimensionality reduction
- pattern classification
- manifold learning
- data visualization
- dimensionality reduction
- feature mapping
- clustering algorithm
- nonlinear dimension reduction
- principal component analysis
- multidimensional scaling
- linear dimensionality reduction
- hierarchical clustering
- euclidean distance
- k means
- low dimensional
- neighborhood graph
- locally linear embedding
- low dimensionality
- laplacian eigenmaps
- high dimensional
- maximum variance unfolding
- high dimensional data
- neural network
- feature space
- preprocessing
- data points
- multi dimensional
- knn