搜索资源列表
class
- 可以用来帮助区分一下数据。实现很多数据的分类和区分。-Can be used to help distinguish between what data. To achieve a lot of data classification and distinction.
DuiyfxXueXi
- 对应分析,包括Q因子分析和R因子分析,用于对数据各因子间的关系和分类-Correspondence analysis, including the Q factor analysis and R factor analysis, the data for the relationship between each factor and classification
LDA_threeclass
- LDA算法，实现了随机二维数据的LDA分类-LDA argorithm for three classes classification
2D-APcluster
- 基于AP算法的2维数据点分类程序，程序完整，实验结果有图，清楚易懂。-AP-cluster based mathod for 2-D data classification.
svm_classification
- 根据给出了心音的数据，设计并实现一个简单的用于文本分类的SVM。-Given heart sound data, design and implement a simple text classification SVM.
code
- 利用最小距离分类器分类３种鸢尾属植物 load fisheriris 载入Matlab自带的鸢尾属植物数据集 每类的前40个样本用于生成代表该类的模板，后10个作为独立的测试样本-Plant data sets The first 40 of each class used to generate the samples representative of the class template 10 after the test sample as separate
isolet5
- isolet5数据集，已处理成.mat格式，包括数据和类标，用于机器学习，聚类，分类等问题的研究-isolet5 dataset has been processed to study mat form, including data and class standard, machine learning, clustering and classification problems
sonar
- sonar数据集，已处理成.mat格式，包括数据和类标，用于机器学习，聚类，分类等问题的研究-sonar dataset has been processed to study mat form, including data and class standard, machine learning, clustering and classification problems
Yale_face-recognition_pca
- 使用yale人脸数据库，用PCA降维方法来对人脸数据进行分类的MATLAB代码，附有人脸图片-Yale face , using PCA dimension reduction method to classify data of face of MATLAB code, and comes with a human face images
libol_v0.3.0
- 最先进的在线学习算法,用于机器学习和数据挖掘研究。目前它支持30 +在线线性算法和变异二进制分类和多级分类任务-consists of a large family of state-of-the-art online learning algorithms for machine learning and data mining research. Currently it supports 30+ online linear algorithms and variants for binar
hlgorithms
- 数据挖掘算法,分类树的C4,5算法,用于模式分类,不错的-Data mining algorithms, classification tree C4, 5 algorithm, used for pattern classification, pretty good
alglib-3.14
- ALGLIB提供以下功能： 线性代数(直接算法、求解器、EVD/SVD) 快速傅里叶变换 数值积分 内插 线性和非线性最小二乘拟合 优化 常微分方程 特殊功能 统计 (描述性统计, 假设检验) 数据分析(分类/回归，包括神经网络) 的多个精确版本线性代数, 内插和优化算法(使用MPFR浮点计算)