I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering.

Daniyal Kazempour Anna Beer Peer Kröger Thomas Seidl

Published in: ICDM (Workshops) (2020)

Keyphrases

subgraph mining
subspace clustering
evaluation measures
high dimensional data
clustering method

precision and recall
learning to rank
clustering algorithm
high dimensional
subspace clusters

clustering high dimensional data
retrieval systems
subspace projections
benchmark datasets
metadata

information retrieval
low dimensional
information extraction
data points
data analysis