HPC Workload Characterization Using Feature Selection and Clustering.
Jiwoo BangChungyong KimKesheng WuAlex SimSuren BynaSunggon KimHyeonsang EomPublished in: SNTA@HPDC (2020)
Keyphrases
- massively parallel
- high performance computing
- feature selection
- unsupervised feature selection
- clustering algorithm
- unsupervised learning
- high dimensionality
- scientific computing
- clustering method
- text categorization
- information theoretic
- k means
- data clustering
- mutual information
- text classification
- cluster analysis
- hierarchical clustering
- class separability
- multi class
- categorical data
- information gain
- classification models
- anomaly detection
- response time
- fuzzy clustering
- microarray data
- discriminative features
- machine learning
- support vector
- data pre processing