搜索资源列表
jlab
- JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity fr
matlab-functions
- ：在有限区域内分布的稀疏不均的、具有一定分布结构的海量数据集的高效、高精度聚 类问题是一个尚未完全圆满解决的难题。针对Affinity Propagation 聚类算法(AP)的不足之处， 提出了两个改进型的聚类算法-n limited areas of uneven distribution of sparse, has certain distribution structure of the mass datasets of high efficiency, high precis
pcamv
- Matlab package for PCA for datasets with missing values
gyy
- 从因子分析的角度出发解决基因表达谱分析问题。为解决独立成分分析方法在求解过程中的不稳定性，提出一种基于选择性独立成分分析的DNA微阵列数据集成分类器。首先对基因表达水平的重构误差进行分析，选择部分重构误差较小的独立成分进行样本重构，然后基于重构后的样本同时训练多个支持向量机基分类器，最后选择部分分类正确率较高的基分类器进行最大投票以得到最终结果。在3个常用测试集上验证了本文设计方法的有效性。-This paper tries to deal with gene expression proble
imputation
- 不完全数据分析MATLAB程序（部分信息重建）：最小均方估计、协方差矩阵、缺失值推测-Analysis of incomplete datasets: Estimation of mean values and covariance matrices and imputation of missing values
datasets
- toolbox de MatLab, de analisis lineal discriminante
DTI_version_1b
- traightforward Diffusion MRI (DTI) and Fiber Tracking (FT) functions and examples. DTI.m, will calculate the Apparent Diffusion Coefficient(ADC), fractional anistropy (FA), and diffusion tensor field, of a DTI datasets consisting of at least 6 d
192010k-average
- kmeans均值聚类算法:一种改进的基于半监督聚类的入侵检测算法ASCID（Active-learning Semi-supervised Clustering Intrusion Detection），-kmeans clustering algorithm Algorithm was simulated by KDD 99 datasets， which the experimental results demonstrate that ASCID algorithm can impro
nsdcalc
- INSTRUCTIONS FOR RUNNING NSDCALC SOFTWARE Nsdcalc.m is a Matlab program for performing the image enhancement process described in the accompanying paper. Place the program in your work directory along with the demonstration data file grav.tx
popular-UCI-datasets
- 一些非常有用的数据集，适合我们从事机器学习的人使用，matlab下的mat格式和excel格式，包括注明的iris，糖尿病等数据集-some useful datasers for machine learning learners,such as diabeters,iris and so on
CGfft
- Within each folder, first run gendata.m (in Matlab) to generate the appropriate data files. Then, run gclabel.cpp to estimate the shadow map and normal field. Finally, run genheight.m in Matlab to integrate the normal field. The light source directio
cloudPlot
- 说明 cloudPlot将有助于形象化的一个二维数据集的分布。这是特别有用当在非常大的数据集凡redular阴谋（的x，y, . )只是填充纯色的情节，因为测量点重叠看着对方。 cloudPlot使用内置的例程在MATLAB中轴线设置限制，并适当格点的数据。 MATLAB的释放MATLAB的7.7（R2008b） -Descr iption cloudPlot will help visualize the distribution of a 2-dimensi
sherwood-classify-matlab-master
- This is classification code. Try with ypur datasets.
datasets
- 支持向量机，主要用于函数拟合和模式识别的matlab程序-Support vector machine for function fitting and pattern recognition matlab program
database for use in matlab
- 20 database of UCI converted to *.mat format for easy use in matlab software for clasification purpose
SNE
- SNE降维算法，应用于多个合成数据集 显示降维效果(SNE dimensionality reduction algorithm is applied to reduce dimensionality in multiple synthetic datasets)
16 benchmark datasets
- 和生物医学有关的数据集，可以用在MATLAB变成中，这是一些标准集(These are some datasets which can be used to matlab.)
CFSFDP-matlab
- 密度峰值聚类算法源码+测试数据(人工+UCI)(Source Code and datasets of CFSFDP Algorithm)
titanic.tar
- 泰坦尼克号数据集，数据分析挖掘经典数据集(Titanic data set, data analysis and mining of classic datasets)
apriori
- apriori算法，matlab，大数据挖掘(The libsvm used for handwritten digit recognition, data uci . You can go to uci datasets sites directly download semeion.data. The data can be called directly after putting into the folder.)