资源列表
adaboost
- 使用adaboosting算法来实现人脸识的功能-adaboosting face recognition algorithm
SVM-timeseries
- 基于SVM的时序序列预测，用python实现，内附测试数据，方便可用。-SVM prediction based on a timing sequence with python to achieve, enclosing the test data to facilitate available.
search_web
- 对添加的文档生成索引文件，在根据输入内容可自动和文档进行匹配，相当于实现了简单的关键字匹配算法；-web mining
weka
- 这是有关weka的介绍 里面有关于分类 聚类 和数据预处理的类-This is the introduction to the inside on the weka classification class clustering and data preprocessing
weka-src
- 这是有关weka类的代码，里面介绍了关于分类 聚类的有关算法-It is about weka class code, which provides information on the classification of clustering algorithm
贝叶斯概率分解源码
- 贝叶斯概率分解的matlab详细源码，里面有详细的推导过程
CalculationSnowfallRainfallRatio2
- 该程序能够最快的对GCM数据进行处理,并能得到好的结果！-The program can be the fastest GCM data processing, and can get good results!
Jason211
- 从Jason2卫星的nc文件中提取测高数据进行网格化处理 1*1 -Extract altimetry data Jason 2 satellite nc mesh file processing* 1 1
KMeans-master
- KMeans聚类算法的Java实现 KMeans聚类算法的Java实现-KMeans clustering algorithm implemented in Java KMeans clustering algorithm implemented in Java KMeans clustering algorithm implemented in Java
decisionTree
- 一个决策树的java实现版本，用于实现对离散和连续问题两种问题- Java implementation of a decision tree version, for the realization of discrete and continuous problems of two kinds of problems
hctsa-master
- matlab，时间序列分析，分类，数据挖掘，聚类-time series classification
k_meansPP
- K-means++算法是K-means算法的一个改进算法，其中主要改进了k值的选取不会在影响聚类的效果，具有高度的自动性-K-means++ algorithm K-means algorithm, an improved algorithm, in which the major improvements k value does not affect the clustering effect, a high degree of automaticity