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pattern_recognition
- 模式识别中的几个常用算法，包括ISODATA算法、K－均值算法、感知器算法、LMSE最小误差、贝耶斯分类。-pattern_recognition have some usual algorithm,including ISODATA algorithm,K-means algorithm,apperceive algorithm ,
PerceptionApproches
- 感知器和其他聚类算法，如lmse。另外还包含了更多的比如c均知法，各种简单的非监督据类程序，有利于直接使用-Perceptron and other clustering algorithms, such as lmse. It also includes more like c all know, a variety of simple non-supervisory category According to procedures, it will directly use
LMSE-HoKashyap
- 最小平方误差(LMSE)算法实现，可训练的确定性分类器的迭代算法。用于对训练一个向量，使得向量与给定矩阵的乘积的结果向量足够小。-least square error (LMSE) algorithm can be trained classifier uncertainty iterative algorithm. For a pair of training vectors, making vector and matrix given the results of the product
FenLeiSuanFa
- 关于分算的智能算法演示，包括样品训练、模板匹配算法，二值Bayes分类，概率Bayes分类，最小风险Bayes分类，Fisher算法，奖惩算法，增量校正算法，LMSE算法，势函数算法，神经网络算法（包括训练，比较及识别）等。
LMS_Equalizer_simulate_matlab
- LMSE qualizer simulate
patternrecognition
- 文件中包含多种模式识别常用的算法，如：ISODATA、 K均值、 感知器、 LMSE最小误差、 贝叶斯，希望对大家能有所帮助-File contains a variety of commonly used pattern recognition algorithms, such as: ISODATA, K-means, perceptron, LMSE the smallest error, Bayesian, in the hope that we can help
Lmse
- 用来判断样本是否线性可分的 -ll
lmse
- The LMSE package contains two subroutines. LMSE computes the minimum mean square error (MSE) possible if one image is allowed to be linearly scaled in intensity. LMSEDIFF computes the difference image after the target image is scaled according to the
LMSEqualizer.m
- Adaptive feedback LMSE qualizer
LMSE
- 用LMSE方法验证两类的可分性，介绍了LMSE算法-LMSE method validation can be divided into two categories , the LMSE algorithm
moshishibie
- 本程序为matlab程序关于模式识别的LMSE算法的简单应用，比较适合初学者使用-This program is about pattern recognition matlab program LMSE algorithm simple application, suitable for beginners to use
LMSE
- LMSE算法实现判断线性可分性和求分界向量-LMSE algorithm for linear separability judgment and seek demarcation vector
LMSE
- 最小二乘法用于模式识别，程序经过修改可以运行-Least squares method for pattern recognition, the program has been modified to run
LMSE
- LMSE模式识别算法，基于Matlab,附仿真示例结果-LMSE pattern recognition algorithms, Matlab, simulation attached sample results
Pattern
- 模式识别的一些基本的算法，有最大最小距离分类法，简单的感知器算法，LMSE算法，以及Parzen窗函数。-Pattern recognition of some basic algorithms, have the largest minimum distance classification, simple perceptron algorithm, LMSE algorithm, as well as the Parzen window function.
模式识别代码
- 基于matlab的Iris、乳腺癌数据集的模式识别分类算法，含有 遗传算法+SVM、isodata、感知器算法、LMSE、神经网络等算法的实现代码，用于聚类效果良好，是模式识别大作业的参考资料(The pattern recognition classification algorithm based on MATLAB for Iris and breast cancer data sets contains the implementation code of genetic algorit