Density-Based Spatial Clustering of Applications with Noise

URI: https://gptkb.org/entity/Density-Based_Spatial_Clustering_of_Applications_with_Noise
GPTKB entity
Statements (32)
Predicate Object
gptkbp:instanceOf gptkb:algorithm
gptkbp:abbreviation gptkb:DBSCAN
gptkbp:advantage sensitive to parameter selection
finds clusters of arbitrary shape
identifies outliers
not suitable for clusters with varying density
gptkbp:application image analysis
anomaly detection
spatial data analysis
market segmentation
gptkbp:citation highly cited
gptkbp:field gptkb:machine_learning
data mining
gptkbp:hasConcept density-based clustering
arbitrary shape clusters
noise handling
https://www.w3.org/2000/01/rdf-schema#label Density-Based Spatial Clustering of Applications with Noise
gptkbp:introducedIn 1996
gptkbp:inventedBy gptkb:Hans-Peter_Kriegel
gptkb:Jörg_Sander
gptkb:Martin_Ester
gptkb:Xiaowei_Xu
gptkbp:openSource gptkb:ELKI
gptkb:scikit-learn
gptkb:R_(dbscan_package)
gptkbp:parameter epsilon (eps)
minimum points (minPts)
gptkbp:publishedIn gptkb:Proceedings_of_the_Second_International_Conference_on_Knowledge_Discovery_and_Data_Mining
gptkbp:supportsAlgorithm gptkb:HDBSCAN
gptkb:OPTICS
gptkbp:bfsParent gptkb:DBSCAN
gptkbp:bfsLayer 6