Evaluating Clustering in Subspace Projections of High Dimensional Data

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A survey on unsupervised outlier detection in high‐dimensional numerical data (2012, background): “Two studies on subspace clustering, as a related field, already demonstrate the difficulties associated with evaluation [144,154].”
Robust Subspace Clustering (2013, background): “Finally, in the data mining literature subspace clustering is sometimes used to describe a different—although related—problem; see [26, 28, 39].”
Local Modeling of Attributed Graphs: Algorithms and Applications (2016, background): “Finally, work in subspace clustering [100] has also been extended as a quality measure to find graph-cuts which correlate with attributes [56].”
SubFlow: Towards practical flow-level traffic classification (2012, unknown): “SCY [13].”
Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering (2012, background): “[13]) or within the framework of feature weighting (see, for a review, Ref.”