搜索资源列表
gas-meter-reading
- 无线通信技术已经运用在我们生活的每个角落，然而由于现实传输的复杂性和不确定性，同时无线信道存在着慢衰落、快衰落效应，会一定程度上造成资源的浪费和通信质量的下降。协同通信是近些年来无线通信研究的热点，它相对于传统无线通信技术在降低成本、节约资源等方面具有明显的优势。协同通信中，中继选择算法根据遵循的标准不同有着不同的算法-Wireless communication technology has been applied in every corner of our life. However,
bipls
- bipls变量选择方法的matlab代码，包括所有有关代码- bipls variable selection method matlab code, including all relevant codes
sPl1Pl21
- 论文 Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty 的算法源代码，是sparse+l1+lq,1的稀疏属性选择算法。- Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty Problem
My_Kmeans
- java写的k-means，随机选择聚类中心-the realizationg of K-means clustering algotithm based on Java,with random selection of clustering centers
The-optimization-of-K-means
- 对k-means算法的优化，通过优化初始聚类中心的选择-The optimization of K-means algorithm by improving the selection of initial clustering centers
pujulei
- 谱聚类算法建立在谱图理论基础上，与传统的聚类算法相比，它具有能在任意形状的样本空间上聚类且收敛于全局最优解的优点。 该算法首先根据给定的样本数据集定义一个描述成对数据点相似度的亲合矩阵,并且计算矩阵的特征值和特征向量 ， 然后选择合适 的特征向量聚类不同的数据点。谱聚类算法最初用于计算机视觉 、VLS I 设计等领域， 最近才开始用于机器学习中，并迅速成为国际上机器学习领域的研究热点。-Spectral clustering algorithm based on the spectrum b
iToolbox
- 选择偏最小二乘的最佳区间，提高预测精度，减小计算量-interval least Least Squares to reduce the computational work while keeping higher predictive accuracy
ypml110-dbscan-clustering
- 分类算法，实测可用，可选择分类算法类型进行分类。-Classification algorithm, found available, you can choose the type of classification algorithm to classify.
neighborhood-mu-info
- 基于邻里互信息特征的评价与选择,数据挖掘，Matlab平台-neighborhood mutual information based feature uation and selection
QRS-wave-group-detect
- 用连续小波对信号进行多尺度变换，选择合适的小波系数，采用模极大值检测RQS波群。-Using continuous wavelet multi-scale transform of signal, the appropriate wavelet coefficients, using modulus maxima detection RQS wave group.
SVM_regression_1001
- 一种可以择优选择参数的SVM拟合回归程序，通过for循环，可以调节参数，调出误差最小的参数设置。有时候，默认的参数也会有很不错的精度。-One can choose the best parameters of the SVM fitting regression procedures, through the for cycle, you can adjust the parameters, minimize the error of the parameter settings. Somet
wrappers
- 文档中是有关于数据挖掘中的wrapper特征选择法（sequential feature selection）的详细资料。-The document is about the wrapper feature selection method (aka sequential feature selection).
GAKMeans
- 由于Kmeans聚类分析是一个局部的搜索过程，因此加入遗传算法进行全局搜索选择最优的初始中心点使得Kmeans算法产生较大的改进-Since Kmeans Cluster analysis is a local search process, so join a global search for the genetic algorithm to the optimal initial centers such Kmeans algorithm produces greater improve
logisticPxgboost
- logistic模型变量选择以及xgboost算法实例-an example of logistic model selection and xgboost algorithm
Association-rules
- 用关联规则分析泰坦尼克存活人员特征,特征选择和存活率- Association rules
DataTest
- 统计一亿个IP中每个出现的次数，找不到大数据之类的分类，只能选择数据挖掘-Statistics IP in one hundred million times each appears, can not find such a large data classification, data mining can only choose
yalemain
- 人脸识别，验证参数错误率，选择错误率小的参数 （对yale人脸库进行人脸识别），代码完整-Face recognition, validate parameter error rates, choose the parameters of the error rate is small (library of Yale face for face recognition), code integrity
qiyezhu
- 企业主经典投资选股代码，帮助投资人在股票池中选择股票，运用企业主交易原则-this code is to help trader to stock stock pool by using company holder strategy.
DS3_v1.1
- 基于相异性的稀疏子集选择。作者是大名鼎鼎的Ehsan Elhamifar。-Dissimilarity-based Sparse Subset Selection (DS3) is an algorithm based on simultaneous sparse recovery for finding data/model representatives a large collection of data/models.
OIF
- 使用最佳指数法对高光谱图像进行波段选择的程序。分享一下-The procedure for band selection of hyperspectral images using the best exponential method. share