Statements (27)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
density-based clustering method |
| gptkbp:advantage |
finds clusters of different density
visualizes cluster structure |
| gptkbp:application |
data mining
spatial data analysis |
| gptkbp:category |
gptkb:machine_learning
unsupervised learning data clustering |
| gptkbp:compatibleWith |
number of clusters as input
|
| gptkbp:fullName |
gptkb:Ordering_Points_To_Identify_the_Clustering_Structure
|
| gptkbp:handles |
clusters of varying density
|
| https://www.w3.org/2000/01/rdf-schema#label |
OPTICS algorithm
|
| gptkbp:input |
set of points
|
| gptkbp:introduced |
gptkb:Hans-Peter_Kriegel
gptkb:Jörg_Sander gptkb:Markus_M._Breunig gptkb:Mihael_Ankerst |
| gptkbp:introducedIn |
1999
|
| gptkbp:output |
reachability plot
ordering of points |
| gptkbp:parameter |
epsilon
minPts |
| gptkbp:publishedIn |
SIGMOD 1999
|
| gptkbp:relatedTo |
gptkb:DBSCAN
|
| gptkbp:bfsParent |
gptkb:Hans-Peter_Kriegel
|
| gptkbp:bfsLayer |
7
|