搜索资源列表
usps_16x16_raw
- 完整的mat格式的USPS手写字府库，里面包括7291个训练样本和2007个测试样本-USPS handwritten database of mat format,include 7291 cases for training and 2007 cases for testing.
ClassifierforUSPSdata
- 用于对USPS数据进行分类的各种分类器，用于对多维采样点进行无监督分类。可根据类别数修改分类器，模式识别作业的部分代码。 -USPS data for the various classification categories, for sampling points on the multi-dimensional non-supervised classification. Can be modified in accordance with several types of class
kwiener
- The following code implements a kernel Wiener Filter algorithm in MATLAB. The algorithm dependes on the eigenvalue decomposition, thus only a few thousand of data samples for training dataset is applicable so far. -The following code implement
kisomapforusps
- isomap算法的kernel形式，能对unseen point进行低维嵌入，里面包含了可运行的多个文件，在usps上成功应用-isomap algorithm kernel form of the unseen point to low-dimensional embedding, which contains several files that can be run, successfully applied in the usps
PCALDA
- MATLAB USPS数据下的PCA和LDA算法实现程序。测试通过。-MATLAB USPS data under the PCA and the LDA algorithm program. Test.
mnist_all
- USPS手写字体数据集，声明：本源程序由网络搜集整理，不承担技术及版权问题!-USPS handwriting data set, the statement: This source collected by the network, does not bear the technical and copyright issues!
uspsFisher
- 用Fisher算法对usps数据集进行分类，对每个部分都有很好的说明，对画图也有详细说明-USPS dataset using Fisher algorithm classification, each part has a good descr iption of the drawing there are described in detail
uspsMSE
- 用MSE算法对usps数据集进行分类，对每个部分都有很好的说明，对画图也有详细说明-USPS dataset using MSE algorithm classification, each part has a good descr iption of the drawing there are described in detail
LDA_USPS
- 利用线性判别分析做USPS数据库的分类。代码可直接运行， 有详细注释。-Done using linear discriminant analysis classification USPS database. Code can be directly run, detailed notes.
PCA_usps
- 利用主成份分析方法实现对usps数据库的分类处理。代码可直接运行， 有详细注释。-Using principal component analysis method for usps database classification. Code can be directly run, detailed notes.
DataSet
- 这是在机器学习、人工智能、数据挖掘中经常用到的数据集，聚类分析也经常用，包括：UCI的数据集wine,yeast,iris等，还有USPS数据集，4k2_far,leuk72_3k数据集等。-This is in machine learning, artificial intelligence, data mining frequently used data sets, cluster analysis are often used, including: UCI datasets wine
Data_USPS_linear
- 使用最近邻和现行分类的方法对USPS手写体数据库进行分类，正确率可以达到90 以上。-Using the nearest neighbor and current classification method for USPS handwritten classification correct rate can reach 90 .