搜索资源列表
patternreg
- 模式识别中的Parzen窗法ISODATA算法H-K(ho-kashyap)算法的实现，用matlab和VC编写-pattern recognition of Parzen window ISODATA method algorithm H-K (ho-Kashya p) algorithm implementation using Matlab and VC prepared
ho-kashyap
- ho-kashyap算法，用于求解判别界面方程。
HKLinearclassifier.rar
- H_K（ho-kashyap）算法的线性分类器 可用于分类简单情况 适合初学者,H_K (ho-kashyap) algorithm for the linear classifier can be used for classification are quite simple for beginners
HK.rar
- H-K(ho-kashyap)算法。在模式识别应用中运用HK算法根据样本进行分类器训练。,HK (ho-kashyap) algorithm. Applications in pattern recognition algorithm based on the use of HK classifier training samples.
ho_kashyap
- ho—kashyap线性分类算法（MHKS）采用了支持向量机最大化间隔的思想,利用面向矩阵模式的双边正则化实现线性分类。-ho-kashyap linear classification algorithm (MHKS) using support vector machine to maximize the spacing of the idea, using matrix model for bilateral Regularization achieve linear classifica
FisherETC
- Fisher, Pseudoinverse, Perceptron, Relaxation, ho-kashyap and LMS method for pattern classification
chapter5_1011
- 这是模式分类一书中第五章的LMS(最小均方算法）和ho-kashyap算法的matlab代码实现。-This is the pattern classification of a book chapter V LMS (least mean square algorithm) and the ho-kashyap algorithm matlab code.
chapter5_12
- 这是模式分类一书中第五章的修改的ho-kashyap算法的matlab代码实现。-This is a book of pattern classification to amend Chapter V of the ho-kashyap algorithm matlab code.
hokashyap_pca
- ho-kashyap pca normalization clustering algorithm
18a884104ce512500fa241d85eb98d18
- matlab实现ho-kashyap方法-matlab code for ho-kashyap
58059913LMSE
- LMSE/模式识别/最小平方误差算法程序(LMSEleast mean square error, LMSE,ho-kashyap)