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kmeans and one-dimensional vectors

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Clustering one-dimensional data was only possible when storing it column-based. But a std::vector is interpreted as matrix with height=1
Additionally, made conditionals more readable
This commit is contained in:
Philipp Hasper 2015-08-21 14:20:00 +02:00
parent 1f7fc6875f
commit 14c0bfce2f
1 changed files with 3 additions and 3 deletions
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6
modules/core/src/kmeans.cpp
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@ -221,9 +221,9 @@ double cv::kmeans( InputArray _data, int K,
{
const int SPP_TRIALS = 3;
Mat data0 = _data.getMat();
bool isrow = data0.rows == 1 && data0.channels() > 1;
int N = !isrow ? data0.rows : data0.cols;
int dims = (!isrow ? data0.cols : 1)*data0.channels();
bool isrow = data0.rows == 1;
int N = isrow ? data0.cols : data0.rows;
int dims = (isrow ? 1 : data0.cols)*data0.channels();
int type = data0.depth();
attempts = std::max(attempts, 1);