资源列表
iPLS
- 区间偏最小二乘法（iPLS）筛选的特征光谱区域通过摒弃不相关的变量-Interval 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
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
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
nlp
- 基于贝叶斯网络的网络评论情感分类，Java实现，内附评论数据包-Based on Bayesian Network Web reviews sentiment classification, Java implementation, the packet included a review
clustering
- R语言聚类算法，数据挖掘，可以直接运行！！欢迎下载-R language clustering algorithm, data mining, can be directly run!!!!!Welcome to download
ann
- 神经网络的R语言程序，有分类的和回归的，可以直接运行-R programming language of neural network, a classification and regression, can be directly run!!!!!
Code-for-classification
- R语言分类算法，可以直接用，简洁方便，适合初学者-R language classification algorithm, can use directly, simple and convenient, suitable for beginners
ID3
- 数据挖据决策树算法ID3算法java实现，包含引用文件，简单易懂-Data Mining Decision Tree Algorithm ID3, simple and easy to understand by java, contains references to files
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.
C4.5
- 改进型的决策树算法，特别的实用，欢迎大家下载，也可以用到论文算法中-Improved decision tree algorithm, especially useful, welcome to download, you can also use paper algorithm
C4.5
- 数据挖掘分类算法决策树C4.5数据挖掘分类算法决策树C4.5-data mining C4.5