Visible to Intel only — GUID: GUID-379D45A7-617C-49CF-B0DA-6C20F1250A53
Visible to Intel only — GUID: GUID-379D45A7-617C-49CF-B0DA-6C20F1250A53
Cosine Distance Matrix
Given n feature vectors of dimension p, the problem is to compute the symmetric matrix of distances between feature vectors, where
Batch Processing
Algorithm Input
The cosine distance matrix 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 for which the distance is computed. The input can be an object of any class derived from NumericTable. |
Algorithm Parameters
The cosine distance matrix algorithm has the following parameters:
Parameter |
Default Value |
Description |
---|---|---|
algorithmFPType |
float |
The floating-point type that the algorithm uses for intermediate computations. Can be float or double. |
method |
defaultDense |
Performance-oriented computation method, the only method supported by the algorithm. |
Algorithm Output
The cosine distance matrix algorithm calculates the result described below. Pass the Result ID as a parameter to the methods that access the results of your algorithm. For more details, see Algorithms.
Result ID |
Result |
---|---|
cosineDistance |
Pointer to the numeric table that represents the symmetric distance matrix . By default, the result is an object of the PackedSymmetricMatrix class with the lowerPackedSymmetricMatrix layout. However, you can define the result as an object of any class derived from NumericTable except PackedTriangularMatrix and CSRNumericTable. |
Examples
C++ (CPU)
Batch Processing:
Python*
Batch Processing:
Performance Considerations
To get the best overall performance when computing the cosine distance matrix:
If input data is homogeneous, provide the input data and store results in homogeneous numeric tables of the same type as specified in the algorithmFPType class template parameter.
If input data is non-homogeneous, use AOS layout rather than SOA layout.
Product and Performance Information |
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Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex. Notice revision #20201201 |