Time series clustering based on sparse subspace clustering algorithm and its application to daily box-office data analysis.
Yan WangYunian RuJianping ChaiPublished in: Neural Comput. Appl. (2019)
Keyphrases
- subspace clustering
- high dimensional data
- data analysis
- multivariate time series data
- high dimensional
- sparse representation
- clustering method
- subspace clusters
- clustering high dimensional data
- data sets
- high dimensionality
- clustering algorithm
- nearest neighbor
- data mining
- dimensionality reduction
- high dimensional feature spaces
- low dimensional
- cluster analysis
- pattern discovery
- clustering approaches
- subgraph mining
- subspace projections
- data points
- input data
- low dimensional spaces
- knowledge discovery
- training data
- probabilistic model
- complex data
- data mining tasks
- image processing
- information retrieval
- subspace projection
- natural language processing