Visible to Intel only — GUID: GUID-FF01F2B5-CFF3-4C1C-A368-ABA328024727
Visible to Intel only — GUID: GUID-FF01F2B5-CFF3-4C1C-A368-ABA328024727
Batch Processing
Algorithm Parameters
The DBSCAN clustering algorithm has the following parameters:
Parameter |
Default Valude |
Description |
---|---|---|
algorithmFPType |
float |
The floating-point type that the algorithm uses for intermediate computations. Can be float or double. |
method |
defaultDense |
Available methods for computation of DBSCAN algorithm:
|
epsilon |
Not applicable |
The maximum distance between observations lying in the same neighborhood. |
minObservations |
Not applicable |
The number of observations in a neighborhood for an observation to be considered as a core one. |
memorySavingMode |
false |
If flag is set to false, all neighborhoods will be computed and stored prior to clustering. It will require up to of additional memory, which in worst case can be . However, in general, performance may be better.
NOTE:
On GPU, the memorySavingMode flag can only be set to true. You will get an error if the flag is set to false.
|
resultsToCompute |
0 |
The 64-bit integer flag that specifies which extra characteristics of the DBSCAN algorithm to compute. Provide one of the following values to request a single characteristic or use bitwise OR to request a combination of the characteristics:
|
Algorithm Input
The DBSCAN algorithm accepts the input described below. Pass the Input ID as a parameter to the methods that provide input for your algorithm. For more details, see Algorithms.
Input ID |
Input |
---|---|
data |
Pointer to the numeric table with the data to be clustered.
NOTE:
The input can be an object of any class derived from NumericTable.
|
weights |
Optional input. Pointer to the numeric table with weights of observations.
NOTE:
The input can be an object of any class derived from NumericTable except PackedTriangularMatrix, PackedSymmetricMatrix.
By default all weights are equal to 1.
NOTE:
This parameter is ignored on GPU.
|
Algorithm Output
The DBSCAN algorithms calculates the results described below. Pass the Result ID as a parameter to the methods that access the result of your algorithm. For more details, see Algorithms.
Result ID |
Result |
---|---|
assignments |
Pointer to the numeric table with assignments of cluster indices to observations in the input data. Noise observations have the assignment equal to -1. |
nClusters |
Pointer to the numeric table with the total number of clusters found by the algorithm. |
coreIndices |
Pointer to the numeric table with 1 column and arbitrary number of rows, containing indices of core observations. |
coreObservations |
Pointer to the numeric table with p columns and arbitrary number of rows, containing core observations. |