Subspace Clustering with Distance-density Function and Entropy in High-dimensional Data.
Jiwu ZhaoStefan ConradPublished in: DATA (2013)
Keyphrases
- subspace clustering
- density function
- high dimensional data
- probability density function
- low dimensional
- density estimation
- nearest neighbor
- clustering high dimensional data
- subspace clusters
- dimensionality reduction
- high dimensionality
- high dimensional
- mean shift
- data sets
- distance function
- data points
- similarity search
- distance measure
- data analysis
- sparse representation
- manifold learning
- complex data
- lower dimensional
- subspace clustering algorithms
- neural network
- clustering method
- training data
- euclidean distance
- linear discriminant analysis
- detection algorithm
- unsupervised learning
- input image
- probability distribution
- pairwise
- particle filtering
- feature space
- pattern recognition
- cluster centers
- clustering algorithm
- image processing
- machine learning