A hybrid EA for high-dimensional subspace clustering problem.
Lin LinMitsuo GenYan LiangPublished in: IEEE Congress on Evolutionary Computation (2014)
Keyphrases
- subspace clustering
- high dimensional
- high dimensional data
- evolutionary algorithm
- low dimensional
- clustering high dimensional data
- high dimensionality
- subspace clusters
- data points
- low dimensional spaces
- dimensionality reduction
- nearest neighbor
- feature space
- enterprise architecture
- high dimensional feature spaces
- high dimensional spaces
- parameter space
- text data
- higher dimensional
- similarity search
- multi dimensional
- subspace projection
- subgraph mining
- subspace projections
- information retrieval
- lower dimensional
- data mining
- clustering approaches
- kernel function
- data analysis