Integer K-Means clustering - Definition.
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#include "ikmeans.h"
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include "assert.h"
#include "ikmeans_init.tc"
#include "ikmeans_lloyd.tc"
#include "ikmeans_elkan.tc"
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| VlIKMFilt * | vl_ikm_new (int method) |
| | Create a new IKM quantizer. More...
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| void | vl_ikm_delete (VlIKMFilt *f) |
| | Delete IKM quantizer. More...
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| int | vl_ikm_train (VlIKMFilt *f, vl_uint8 const *data, vl_size N) |
| | Train clusters. More...
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| void | vl_ikm_push (VlIKMFilt *f, vl_uint32 *asgn, vl_uint8 const *data, vl_size N) |
| | Project data to clusters. More...
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| vl_uint32 | vl_ikm_push_one (vl_ikmacc_t const *centers, vl_uint8 const *data, vl_size M, vl_size K) |
| | Project one datum to clusters. More...
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| vl_size | vl_ikm_get_ndims (VlIKMFilt const *f) |
| | Get data dimensionality. More...
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| vl_size | vl_ikm_get_K (VlIKMFilt const *f) |
| | Get the number of centers K. More...
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| int | vl_ikm_get_verbosity (VlIKMFilt const *f) |
| | Get verbosity level. More...
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| vl_size | vl_ikm_get_max_niters (VlIKMFilt const *f) |
| | Get maximum number of iterations. More...
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| vl_ikmacc_t const * | vl_ikm_get_centers (VlIKMFilt const *f) |
| | Get maximum number of iterations. More...
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| void | vl_ikm_set_verbosity (VlIKMFilt *f, int verb) |
| | Set verbosity level. More...
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| void | vl_ikm_set_max_niters (VlIKMFilt *f, vl_size max_niters) |
| | Set maximum number of iterations. More...
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- Author
- Brian Fulkerson
-
Andrea Vedaldi
- Parameters
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- Returns
- maximum number of iterations.
- Parameters
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- Returns
- number of centers K.
- Parameters
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- Returns
- maximum number of iterations.
- Parameters
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- Returns
- data dimensionality.
| int vl_ikm_get_verbosity |
( |
VlIKMFilt const * |
f | ) |
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- Parameters
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- Returns
- verbosity level.
- Parameters
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| method | Clustering algorithm. |
- Returns
- new IKM quantizer.
The function allocates initializes a new IKM quantizer to operate based algorithm method.
method has values in the enumerations VlIKMAlgorithms.
- Parameters
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| f | IKM quantizer. |
| asgn | Assignments (out). |
| data | data. |
| N | number of data (N >= 1). |
The function projects the data data on the integer K-means clusters specified by the IKM quantizer f. Notice that the quantizer must be initialized.
- Parameters
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| centers | centers. |
| data | datum to project. |
| K | number of centers. |
| M | dimensionality of the datum. |
- Returns
- the cluster index.
The function projects the specified datum data on the clusters specified by the centers centers.
- Parameters
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| f | IKM filter. |
| max_niters | maximum number of iterations. |
| void vl_ikm_set_verbosity |
( |
VlIKMFilt * |
f, |
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int |
verb |
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) |
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- Parameters
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| f | IKM filter. |
| verb | verbosity level. |
- Parameters
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| f | IKM quantizer. |
| data | data. |
| N | number of data (N >= 1). |
- Returns
- -1 if an overflow may have occurred.