PUMA: Parallel subspace clustering of categorical data using multi-attribute weights.
Ning PangJifu ZhangChaowei ZhangXiao QinJianghui CaiPublished in: Expert Syst. Appl. (2019)
Keyphrases
- categorical data
- subspace clustering
- cluster analysis
- attribute values
- clustering method
- clustering algorithm
- high dimensional data
- subspace clusters
- attribute weights
- multiple attribute decision making
- high dimensional
- high dimensionality
- decision making
- group decision making
- data points
- missing data
- k means
- feature extraction
- aggregation operators
- multivariate time series
- linguistic variables