POST: A framework for set-based association analysis in high-dimensional data.
Xueyuan CaoE. Olusegun GeorgeMingjuan WangDale B. ArmstrongCheng ChengSusana C. RaimondiJeffrey E. RubnitzJames R. DowningMondira KunduStanley PoundsPublished in: BIBM (2017)
Keyphrases
- high dimensional data
- association analysis
- high dimensional
- dimensionality reduction
- low dimensional
- high dimensionality
- data analysis
- information retrieval
- input data
- data points
- probabilistic model
- subspace clustering
- clustering high dimensional data
- co occurrence
- nearest neighbor
- random walk
- similarity search
- association rule mining
- feature selection
- manifold learning
- data sets