搜索资源列表
FCMVB
- 模糊聚类和硬聚类实现的VB代码: 1利用模糊理论的聚类方法把数据分类 2直接利用硬聚类方法把数据分类
1
- 用于实现蝴蝶与蛾的图像分类，主要根据其触角及体长等特征提取图像数据进行处理，得出结果。-Butterflies and moths used to achieve image classification, mainly based on its long tentacles and body feature extraction image data processing, the result.
Image
- 遥感图像的打开处理程序，能够打开单波段，多波段图像，几何图像变换，线性拉伸变换，平滑 处理包括并行和串行，锐化处理包括梯度锐化、Roberts锐化、laplace锐化、sobel锐化等，还 有用绝对距离和马氏距离算法进行的监督分类算法等，包括了RAW格式数据资源-The opening of remote sensing image processing, to open the single-band, multi-band images, geometric image
ddsvm
- SVM算法dd,来自国外做数据挖掘和文本分类的-SVM algorithm dd, from abroad to do data mining and text classification
HKCLASS
- HK算法，Visual Studio2005实现，输入数据使用.txt文档，只支持2维数据分类-HK algorithm, Visual Studio2005 implementation, the input data used. Txt document, only support two-dimensional data classification
Anity-Propagation
- 关于最新ap算法的开创性重要文章,应用数据分类-Affi nity propagation (AP) was recently introduced as an unsupervised learning algorithm for exemplar-based clustering. We present a deriva- tion of AP that is much simpler than the original one and is based on a qu
03
- 类的目的就是根据现有的图像特征建立一个分类器，能够对未知的图像类型进行预测。在现有众多分类 算法中，贝叶斯分类器由于其坚实的数学理论基础并能综合先验信息和数据样本信息，成为"-3前机器学习和数据挖 掘的研究热点之一。本文论述了内容图像检索中基于贝叶斯分类器的图像分类技术。介绍了贝叶斯分类器，叙述了 利用贝叶斯分类器进行图像分类的方法，以及图像特征的分布假定。最后通过对分类器的探讨，总结了贝叶斯估计 分类的不足。-The purpose of class is based on a
SVM-Research
- 支持向量机的初步实现，运用支持向量机实现了数据分类与拟合。-The initial implementation of support vector machines, the use of support vector machine classification and to achieve a data fit.
Matlab_SVM
- SVM实现数据分类，可自行选取核函数，用于图像分割操作。程序可自动训练分类平面。-SVM for data classification, are free to select the kernel function，For image segmentation operation. The program can automatically train classifiers plane.
PAM
- 利用欧式度量聚类真实数据集和实际数据集用于对各类数据分类 -European metric clustering real data sets and real data sets for various types of data classification
Desktop
- 欧式距离PAM聚类算法，利用欧式度量聚类真实数据集和实际数据集用于对各类数据分类-Euclidean distance the PAM clustering algorithms using the European metric clustering real data sets and real data sets for the various types of data classification
BP-neural-network-classification
- 利用BP神经网络的数据分类的方法实现语音特征信号分类。-BP neural network data classification method voice feature signal classification.
document
- 自己编程实现的K_means、BP神经网络对Irisic数据分类、4点交比、单个神经细胞的线性分类’以及LOG与Lap的效果比较。并附有代码所使用的irisic的数据-Own programming of K_means, BP neural network Irisic data classification, 4:00 cross-ratio, a single linear classification of nerve cells' and the comparison of t
Grand-total
- matlab环境下怎么样从txt文件中读取数据 分类:matlab与图像处理文件内容形式一（假定文件名为test1.txt）：-matlab environment how to read data from a txt file classification: matlab image processing and file content in the form of a (assuming that the file named test1.txt):
random-forest
- 决策树模型的C++实现，可用来组成随机森林建立随机森林分类器做数据分类及图像分类，代码中有简单的测试样例-C++ implementation of decision tree model, to form a random forest is used to establish the random forest classifier for data classification and image classification, the code is simple test sample
WineClass
- 基于SVM的数据分类预测 葡萄酒种类识别，代码经测试可用-SVM-based prediction data classification- identifying the type of wine, the code has been tested and is available
FCM
- 高光谱遥感图像处理之数据分类的fcm算法源代码maltlab-Hyperspectral remote sensing image processing data classification of the FCM algorithm source code maltlab
PCA
- pca源程序代码，主成分分析，用于高维数据姜维，进一步用于数据分类模式识别-pca source code, principal component analysis, Jiang Wei for high-dimensional data, further data for pattern recognition classification
random forest
- 利用matlab编程来实现多光谱遥感数据的随机森林分类(Random Forest Classification by Multispectral Remote Sensing)
决策树训练及分类
- 该压缩包包括两个文件： 1、main.m 将训练数据输入到决策树中，训练并在自动分好的测试数据上测试，并保存训练好的决策树 ctree.mat文件。 2、classification.m 加载训练好的决策树，使用决策树对新输入的数据进行分类。 该方法主要用于对SLIC超像素块进行分类，稍加修改可以用于其他数据分类。(The compression package consists of two files: 1. Main. m inputs training data into decisio