Building a Decision Cluster Classification Model for High Dimensional Data by a Variable Weighting k-Means Method.
Yan LiEdward HungKorris Fu-Lai ChungJoshua Zhexue HuangPublished in: Australasian Conference on Artificial Intelligence (2008)
Keyphrases
- variable weighting
- k means
- high dimensional data
- particle swarm optimizer
- clustering method
- semi supervised
- clustering algorithm
- dimension reduction
- nearest neighbor
- dimensionality reduction
- subspace clustering
- variable selection
- initial cluster centers
- active learning
- pairwise
- cluster structure
- input data
- high dimensional data sets
- text clustering
- dimensional data
- similarity search
- cluster centers
- text data
- hierarchical clustering
- self organizing maps
- database
- model selection
- particle swarm optimization
- machine learning