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AdaBoost
- Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。-Adaboost is an iterative algorithm, the core idea is the same training set for training different classifiers (weak classifiers), then these weak classifiers together to f
SVM
- 在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, an
K_CenterPoint_PAM
- k中心点算法，也就是PAM算法。是数据挖掘中聚类分析的一种手段，用途广泛。-k center algorithm, i.e. PAM algorithm. Data mining is a means of cluster analysis, and versatile.
Untitled5
- 数学建模中的一个遗传算法，以生物理论为基础，是数模中的常用的基本算法。-Mathematical modeling of the genetic algorithm
K-Means
- K-MENAS算法是最简单的聚类算法，适合对于初学者的学习和改进使用-K-MENAS algorithm is a clustering algorithm is the most simple, suitable for beginners to learn and use improved
FCM
- FCM算法是模糊聚类算法，是在对K-MEANS算法的基础上改进的聚类算法，比L-MEANS算法有更好的效果-FCM algorithm is a fuzzy clustering algorithm, clustering algorithm is improved based on the K-MEANS algorithm, the L-MEANS algorithm is better than the effect of it
k-means-original
- k-menas算法是最简单的聚类算法，算法内详细介绍了各个函数和功能，对初学者很有借鉴意义-K-MEANS algorithm is one of the most simple clustering algorithm, there are different form, this is one of them, a reference for beginners
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,
fin_cpp
- fin-cpp算法，是一种快速频繁项挖掘算法，比fpgrownth还要快。SCI已发表认证-fin-cpp, a fast frequent itemsets method
kmeans
- k-means算法是文本聚类经典算法，也是数据挖掘十大经典算法之一。k-means算法Java实现。-k-means algorithm is a classical algorithm text clustering, data mining is one of the ten classic algorithms. k-means algorithm is implemented in Java.
POETR
- 此为POET的R语言源代码程序，目的是为实现最大方差估计-Large Covariance Estimation by Thresholding Principal Orthogonal Complements
GA-PLS-toolbox
- GA-PLS遗传偏最小二乘法 用于数据挖掘或者是光谱特征变量筛选-GA-PLS Genetic Partial Least Squares
PLS
- 偏最小二乘法（PLS）建模方法是集多元回归、典型相关分析及主成分分析的功能于一体的方法-Partial Least Squares
data-mining_GRI
- GRI关联数据挖掘. GRI是关联规则的一种算法。很有用的。-GRI association data mining
FCM
- 核聚类算法：聚类是将一组给定的未知类标号的样本分成内在的多个类别，使得同一类中 的样本具有较高的相似度，而不同类中的样本差别大。侧重于软聚类（模糊C-均值——FCM），但其描述手段同样适合于硬聚 类（HCM）等同类问题。-Clustering algorithm: cluster is a group of unknown samples given class label into internal multiple categories, so that the same class
PSOjulei
- 本文是粒子群聚类算法代码，很细致，希望大家用得上！-This is the class of particle clustering algorithm code, very detailed, I hope you need them!
ICcurve
- 在matlab上实现电池充电是容量-电压曲线的绘制，采用计数法代替微分发技术-Implement matlab code on outputing capcity-voltage curve, which is ploted by counting point menthod instead of derivation
birch.tar
- birch python 修改，里面可能存在一些问题，但大体罗辑是对的-birch python modify
released
- 本文件是我自己写的决策树的一个例子，很适合初学者学习，用决策树分类，实现很简单-This document is an example of the decision tree of my own writing, it is suitable for beginners to learn, decision tree classification, to achieve a very simple
data_mining
- 这是一个R的程序 文本挖掘的作业，用来统计新闻类别再进行分类 -This is an R program text mining operations for Statistical News category then classified