K-SVD
K-SVD是一种经典的字典训练算法,依据误差最小原则,对误差项进行SVD分解,选择使误差最小的分解项作为更新的字典原子和对应的原子系数,经过不断的迭代从而得到优化的解。
资源总数
500
K-SVD 全部资料 500 份
自行implement的k-mean(含fuzzy c mean)
自行implement的k-mean(含fuzzy c mean),可以直接於vc++針對大量數據進行分群的動作
2017-02-04
131
the attached file contains k means code using visual basic
the attached file contains k means code using visual basic
2014-01-02
145
source code for pattern classification k nearest neighbor source code
source code for pattern classification k nearest neighbor source code
2017-05-15
146