Finding Density-Based Subspace Clusters in Graphs with Feature Vectors.

Stephan Günnemann Brigitte Boden Thomas Seidl

Published in: LWA (2011)

Keyphrases

subspace clustering
subspace clusters
feature vectors
high dimensional data
arbitrarily oriented
clustering method
subspace projection
high dimensional
feature extraction
data sets
feature space
euclidean distance
clustering algorithm
outlier detection
input data
graph mining
data mining
neural network