Dimensionality Reduction via Community Detection in Small Sample Datasets.
Kartikeya BhardwajRadu MarculescuPublished in: PAKDD (3) (2018)
Keyphrases
- small sample
- community detection
- dimensionality reduction
- high dimensionality
- high dimensional
- complex networks
- feature selection
- network analysis
- social networks
- community structure
- sample size
- feature selection algorithms
- massive graphs
- link prediction
- support vector machine
- community detection algorithms
- real world networks
- data sets
- upper bound
- high dimensional data
- low dimensional
- dimension reduction
- feature space
- pattern recognition
- ls svm
- overlapping communities
- data points
- lower bound
- principal components
- learning algorithm
- machine learning
- principal component analysis