搜索资源列表
fisher
- 基于LDA人脸识别，matlab版，亲测有效(FisherFace using for face recogintion)
iris
- 著名的统计学家R.A.Fisher在20世纪30年代中期提出来的鸢尾花数据集(The famous statistician R.A.Fisher introduced the iris data set in the mid 1930s)
uscn-ssin
- Feature scaling for kernel Fisher discriminant analysis usin
vlfeat-0.9.20.tar
- VLFeat是一个跨平台的开源机器视觉库，它囊括了当前流行的机器视觉算法，如SIFT, MSER, HOG, 同时还包含了诸如K-MEANS, Hierarchical K-means的聚类算法。它由C语言编写，并提供了Matlab接口及详细的文档。当前最新的版本是VLFeat 0.9.18 。(The VLFeat open source library implements popular computer vision algorithms specializing in image un
Fisher
- 聚类分析法来研究一系列相关数据间的关系，从而确定分类数(Clustering method to study the relationship between a series of related data, so as to determine the number of categories)
bp神经网络
- Matlab实现前向神经网络的方法 本文以Fisher的Iris数据集作为神经网络程序的测试数据集(Implementation of feedforward neural networks by Matlab)
LDA
- 性判别式分析(Linear Discriminant Analysis, LDA)，也叫做 Fisher 线性判别 (FisherLinear Discriminant,FLD)， 是模式识别的经典算法(Linear Discriminant Analysis)
MSM_MLE_1v01
- 基于马尔科夫转换多重分形预测模型，MSM模型具有较少的参数和无限的频率。该模型通过使用机制转换（regime switching）技术，能较好的捕捉金融时间序列波动中隐藏的离群值、时间标度以及长程相关性特征。Calvet和Fisher使用MSM模型对四种汇率序列进行预测，他们发现MSM模型的长期预测性能优于GARCH、MS-GARCH（Markov switching GARCH）、FIGARCH等模型，MSM模型适用于具有显著异常值和长程记忆性的真实波动序列的预测。(the Markov-Sw
FisherEM - 副本
- 高斯混合模型，将Fisher和EM算法结合的一种算法(Gauss mixture model, an algorithm combining Fisher and EM algorithm)
Fisher线性判别分析实验
- LDA快速学习工具包，对于初学者有很好的帮助作用。(help you learn about LDA fast)
shiyan2
- 模式识别相关实验 Fisher线性判别准则(Pattern recognition)
分类器
- 模式识别分类器，利用Fisher判别对数据进行分类以及BP神经网络的方法进行分类(Pattern recognition classifier, the use of Fisher discriminant classification of data and BP neural network method for classification)
方差分析
- 方差分析又称“变异数分析”，是R.A.Fisher发明的，用于两个及两个以上样本均数差别的显著性检验(ANOVA, also called variance analysis, was invented by R.A.Fisher, which was used to test the significance of the mean difference between two and more than two samples)
程序
- 模式识别在MATLAB程序下的有关算法程序，包括Fisher分类，ML分类，parzen窗分类，直方图画法，roc曲线，roc分类等(Pattern recognition in the MATLAB program related algorithm program, including Fisher classification, ML classification, Parzen window classification, histogram drawing, ROC curve, RO
FDDL_IJCV
- Fisher discriminant dictionary learning approach for face recognition
5107533
- 利用fisher线性判别分析进行数据降维()
vmawin-12.081a
- This small utility allows you to list, extract, and/or create VMARC archive files. It is currently maintained by Ross Patterson, and VMARC was originally written by John Fisher.
feature_rank-master
- 这个函数计算费舍得分或特征的鉴别系数。 它可以用于两类功能选择场景。(This function computes the Fisher Score or Discriminating Coefficient of features. It can be used in two class feature selection scenarios.)
FS
- 该代码可对数据进行特征筛选，得到的结果为所选中特征的序列号，很好用哒，有啥问题大家一起留言交流呀(The code can select the characteristics of the data, the result is the sequence number of the selected features, which is very useful.)
fisherT
- 一段用于数据分类，分级的费舍尔判别分析算法，MATLAB代码(A Fisher discriminant analysis algorithm for data classification and classification, MATLAB code)