搜索资源列表
BioinfYeastzipCode
- 乳腺癌分类程序,带有部分的原始数据,非常好-Breast cancer classification procedures, with part of the raw data, very good
K-meansNB
- :将K—means算法引入到朴素贝叶斯分类研究中,提出一种基于K—means的朴素贝叶斯分类算法。首先用K— me.arks算法对原始数据集中的完整数据子集进行聚类,计算缺失数据子集中的每条记录与 个簇重心之间的相似度,把记 录赋给距离最近的一个簇,并用该簇相应的属性均值来填充记录的缺失值,然后用朴素贝叶斯分类算法对处理后的数据 集进行分类。实验结果表明,与朴素贝叶斯相比,基于K—means思想的朴素贝叶斯算法具有较高的分类准确率。-: K-means algorithm will
feature_extraction_agilant
- One of the big challenges in microarray data analysis generating reliable, high-quality image-analysis results. Agilent’s Feature Extraction (FE) software reads and processes up to 100 raw microarray image fi les in an automated, walkaw
bp-code
- 利用BP神经网络进行数据预测,得到均方误差,并画出预测数据和原数据的对比图。-BP neural network for data, forecasts, get the mean square error, and forecast data and raw data to draw the comparison chart.
SVMyuce
- matlab支持向量机预测,有原始数据,有案例分析,有详细源代码(作者附录的源程序,经过本人亲自调试成功)运行之前请先安装libsvm工具箱!(案例为预测短期电力功率预测)-matlab support vector machine, there are raw data, there are case studies, a detailed source code (the author s source code appendix, after personally Debugging
svm--matlab
- matlab智能算法30个案例分析源码之--支持向量机的分类--基于乳腺组织电抗阻性的乳腺癌诊断 包括原始数据和SVM分类代码 是学习支持向量机的好的案例-matlab intelligent algorithm analysis of 30 cases source code- support vector machine classification- based on the electrical resistance of breast cancer diagnosis in bre
SVM
- 已调的SVM多分类的MATLAB代码,包括原始数据,很好用的-Modulated SVM multi-classification MATLAB code, including raw data, well used
GPS-cycle-slip-processing
- GPS L1,L2双拼周跳探测与修复,包含几种常用的实时探测算法,附有GUI界面-A MATLAB software package for GPS cycle-slip processing is presented in this paper. It realizes cycle-slip detection and repair in the measurement domain for GPS L1 and L2 signals. The software implement
ECG-classification
- 心电图是一种经胸腔的以时间为单位记录心脏的电生理活动,并通过皮肤上的电极捕捉并记录下来的诊疗技术,能警示人体心脏健康状况。我们对十种不同心脏状况的心电图(ECG)数据进行实验,在对原始数据进行了一系列预处理后,利用PCA和ICA进行特征提取降维得到新的特征空间,并利用支持向量机进行训练,最后对未分类心电数据进行分类标记并评价其性能。-Electrocardiography (ECG) is a transthoracic interpretation of the electrical acti
Bayes
- 利用贝叶斯网络对IRIS数据(鸢尾花)进行分类,含原始数据-Bayesian network IRIS data (iris) are classified, including raw data
data
- 随机森林算法的构造过程:1、通过给定的原始数据,选出其中部分数据进行决策树的构造,数据选取是”有放回“的过程,我在这里用的是CART分类回归树。 2、随机森林构造完成之后,给定一组测试数据,使得每个分类器对其结果分类进行评估,最后取评估结果的众数最为最终结果-Random Forest algorithm construction process: 1, by a given raw data, which part of the decision tree data structu
333
- 算法流程:原始数据提取-模糊信息粒化-粒化后的原始数据-利用SVM对粒化数据进行回归预测-给出上证指数变化趋势和变化空间-验证预测结果-Algorithmic flow: Raw data extraction- Fuzzy information granulation- Granulated raw data- Regression prediction of granulated data using SVM- Change trend and change space of the Sh
vmgsy
- 基于kaiser窗的双谱线插值FFT谐波分析,独立成分分析算法降低原始数据噪声,Relief计算分类权重。- Dual-line interpolation FFT harmonic analysis kaiser windows, Independent component analysis algorithm reduces the raw data noise, Relief computing classification weight.
rwwep
- 经典的灰度共生矩阵纹理计算方法,抑制载波型差分相位调制,独立成分分析算法降低原始数据噪声。- Classic GLCM texture calculation method, Suppressed carrier type differential phase modulation, Independent component analysis algorithm reduces the raw data noise.
mpsca
- 仿真效果非常好,独立成分分析算法降低原始数据噪声,用MATLAB编写的遗传算法路径规划。- Simulation of the effect is very good, Independent component analysis algorithm reduces the raw data noise, Genetic algorithms using MATLAB path planning.
trkvj
- Suppressed carrier type differential phase modulation, Independent component analysis algorithm reduces the raw data noise, For feature reduction, feature fusion, correlation analysis.
dataSet_processing
- 包含ppt课件、原始数据集、C++代码和处理结果onehot、TF、TFIDF矩阵等文件,自学大礼包(Including ppt courseware, raw data sets, C++ code and processing results onehot, TF, TFIDF matrix files, self study spree)
ALEXNET
- 搭建的一个AlexNet的网络结构,包含原始AlexNet的最基本结构,使用的数据集为mnist,所以对其中的参数做出较小的修改,搭建网络方式比较典型,可根据范例结构自行扩展(包括原始mnist数据)(Build an AlexNet network structure, including the most basic structure of the original AlexNet, using a data set of mnist, so the parameters of the s