DBSCAN class
Density-based spatial clustering of applications with noise (DBSCAN)
Constructors
Properties
-
cluster
→ List<
List< int> > -
Result clusters
no setter
-
dataset
↔ List<
List< double> > -
Complete list of points (in vector form)
getter/setter pair
-
distanceMeasure
↔ double Function(List<
double> , List<double> ) -
Distance measurement between two points
getter/setter pair
- epsilon → double
-
Threshold distance for two points to be considered as neighbor
final
- hashCode → int
-
The hash code for this object.
no setterinherited
-
label
→ List<
int> ? -
Cluster label for each points, if prefers sklearn's output structure.
no setter
- minPoints → int
-
Minimum points in neighborhood to be considered as a cluster
final
-
noise
→ List<
int> -
Index of points considered as noise
no setter
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
Methods
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited