"Strength Lies in Differences": Diversifying Friends for Recommendations through Subspace Clustering.
Eirini NtoutsiKostas StefanidisKatharina RauschHans-Peter KriegelPublished in: CIKM (2014)
Keyphrases
- subspace clustering
- high dimensional data
- subspace clusters
- clustering algorithm
- clustering method
- clustering high dimensional data
- high dimensional
- recommender systems
- high dimensionality
- clustering approaches
- dimensionality reduction
- overlapping clusters
- subspace projections
- high dimensional feature spaces
- machine learning
- text mining
- feature space
- subspace projection
- subgraph mining
- learning algorithm