Classification of High-dimensional Data Clustering Based on Rules Mining Research.
Maosen XiaLingling JiangYumei WangPublished in: J. Softw. (2014)
Keyphrases
- high dimensional data
- high dimensionality
- dimension reduction
- dimensionality reduction
- high dimensional
- small sample size
- data sets
- low dimensional
- subspace clustering
- nearest neighbor
- data points
- regression problems
- multivariate temporal data
- pattern recognition
- high dimensions
- data analysis
- clustering high dimensional data
- data distribution
- original data
- feature extraction
- manifold learning
- text data
- support vector machine
- high dimensional data sets
- high dimensional feature spaces
- multi dimensional
- dimensional data
- nonlinear dimensionality reduction
- sparse representation
- association rules
- input space
- computer vision
- decision trees
- training set
- feature vectors
- class labels
- similarity search
- knowledge discovery
- feature space
- linear discriminant analysis
- input data
- locally linear embedding
- database
- subspace clusters
- knn
- neural network
- high dimensional datasets
- dimensionality reduction methods
- text classification
- subspace learning
- machine learning
- lower dimensional
- euclidean distance
- missing values