DBScan
Package
weka.clusterers
Synopsis
Martin Ester, Hans-Peter Kriegel, Joerg Sander, Xiaowei Xu: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In: Second International Conference on Knowledge Discovery and Data Mining, 226-231, 1996.
Options
The table below describes the options available for DBScan.
Option |
Description |
|---|---|
database_Type |
used database |
database_distanceType |
used distance-type |
epsilon |
radius of the epsilon-range-queries |
minPoints |
minimun number of DataObjects required in an epsilon-range-query |
Capabilities
The table below describes the capabilites of DBScan.
Capability |
Supported |
|---|---|
Class |
No class |
Attributes |
Date attributes, Numeric attributes, Binary attributes, Nominal attributes, Unary attributes, Missing values, Empty nominal attributes |
Min # of instances |
1 |