SUBCLU is an algorithm for clustering high-dimensional data by Karin Kailing, Hans-Peter Kriegel and Peer Kröger. It is a subspace clustering algorithm...

is also used as part of subspace clustering algorithms like PreDeCon and SUBCLU. HDBSCAN* is a hierarchical version of DBSCAN which is also faster than...

their attributes. Examples for such clustering algorithms are CLIQUE and SUBCLU. Ideas from density-based clustering methods (in particular the DBSCAN/OPTICS...

Single-linkage clustering: a simple agglomerative clustering algorithm SUBCLU: a subspace clustering algorithm Ward's method: an agglomerative clustering...

DeLi-Clu, HiSC, HiCO and DiSH HDBSCAN Mean-shift clustering BIRCH clustering SUBCLU (Density-Connected Subspace Clustering for High-Dimensional Data) CLIQUE...

an approach taken by most of the traditional algorithms such as CLIQUE, SUBCLU. It is also possible to define a subspace using different degrees of relevance...

induction Rules extraction system family SAS (software) SNNS SPSS Modeler SUBCLU Sample complexity Sample exclusion dimension Santa Fe Trail problem Savi...

X-tree and IQ-Tree, the cluster analysis algorithms DBSCAN, OPTICS and SUBCLU and the anomaly detection method Local Outlier Factor (LOF). His research...