Hierarchical Integer K-Means Clustering - Declaration.
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#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include "hikmeans.h"
Functions |
vl_uint8 * | vl_hikm_copy_subset (vl_uint8 const *data, vl_uint *ids, int N, int M, vl_uint id, int *N2) |
| Copy a subset of the data to a buffer.
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static VlHIKMNode * | xmeans (VlHIKMTree *tree, vl_uint8 const *data, int N, int K, int height) |
| Compute HIKM clustering.
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static void | xdelete (VlHIKMNode *node) |
| Delete node.
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VlHIKMTree * | vl_hikm_new (int method) |
| New HIKM tree.
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void | vl_hikm_delete (VlHIKMTree *f) |
| Delete HIKM tree.
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void | vl_hikm_init (VlHIKMTree *f, int M, int K, int depth) |
| Initialize HIKM tree.
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void | vl_hikm_train (VlHIKMTree *f, vl_uint8 const *data, int N) |
| Train HIKM tree.
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void | vl_hikm_push (VlHIKMTree *f, vl_uint *asgn, vl_uint8 const *data, int N) |
| Project data down HIKM tree.
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Detailed Description
- Author:
- Brian Fulkerson
-
Andrea Vedaldi
Function Documentation
- Parameters:
-
data | Data |
ids | Data labels |
N | Number of indices |
M | Data dimensionality |
id | Label of data to copy |
N2 | Number of data copied (out) |
- Returns:
- a new buffer with a copy of the selected data.
void vl_hikm_init |
( |
VlHIKMTree * |
f, |
|
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int |
M, |
|
|
int |
K, |
|
|
int |
depth |
|
) |
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- Parameters:
-
f | HIKM tree. |
M | Data dimensionality. |
K | Number of clusters per node. |
depth | Tree depth. |
- Returns:
- a new HIKM tree representing the clustering.
- Parameters:
-
- Returns:
- new HIKM tree.
- Parameters:
-
f | HIKM tree. |
asgn | Path down the tree (out). |
data | Data to project. |
N | Number of data. |
The function writes to asgn the path of the data data down the HIKM tree f. The parameter asgn must point to an array of M
by N
elements, where M
is the depth of the HIKM tree and N
is the number of data point to process.
- Parameters:
-
f | HIKM tree. |
data | Data to cluster. |
N | Number of data. |
- Parameters:
-
The function deletes recursively node and all its descendent.
- Parameters:
-
tree | HIKM tree to initialize. |
data | Data to cluster. |
N | Number of data points. |
K | Number of clusters for this node. |
height | Tree height. |
- Returns:
- a new HIKM node representing a sub-clustering.