资源列表
Enhancedtextmining
- 强化版本文本挖掘流程，包含分词，分类聚类，分词结果评估等-Enhanced version of the text mining process, including word segmentation, classification clustering, segmentation results uation, etc.
DecisionTreeAndRDF-master
- id3决策树算法和随机森林算法，讲的很清晰，步骤很详细-id3 decision tree algorithms and random forest algorithms, said very clearly, very detailed step
kfold-knn.m.tar
- The program k folds the data set and applies K-Nearest Neighbors algorithm to classify the images.
Naive-Bayes.py.tar
- Classification algorithm using Naive Bayes. Written for News Group data set. 99 accuracy-Classification algorithm using Naive Bayes. Written for News Group data set. 99 accuracy!!!
WordCount2
- 基于hadoop1.x的wordcount程序，jar包是全的，只要设置一下即可使用-a word count program depend on hadoop 1.x with all jar files needed,easy to use
large-data
- 对大数据的应用，很有启发负荷预测。我希望你能有所帮助。-Load forecasting on large data applications, very enlightening. I hope you can help.
readdatajtwc
- 读取印度洋热带气旋的相关信息，包括生成位置，生成数目，生成后轨迹等。-Read Indian Ocean tropical cyclone-related information, including generating position, generation number, after generating trajectory.
log
- 提出基于拉普拉斯高斯（Laplacian of Gaussian，LoG）算子边缘检测的全局二值化方法对其进行处理，该方法通过提取图像边缘部份的像素灰度获得图像二值化的阈值。处理结果表明，与传统的几种方法相比，该方法能够快速选取良好的二值化阈值，较好地区分目标和背景，在相当大模板宽度内图像二值化的结果都令人满意。-Is put forward based on the Laplacian of Gaussian (LoG) Laplacian of Gaussian, operator edge
kNN
- KNN，k近邻算法，内附测试数据集，机器学习实战源码-KNN, k nearest neighbor algorithm, enclosing the test data set, machine learning practical source
Kmeans
- 按照模式识别一书，实现k均值聚类的matlab版本代码-According to the book Pattern Recognition , implement k-means clustering matlab version of the code
minimum_spanning_tree
- 本程序是基于最小洗漱树的分类器 可得到分类效果不错的分类器-This procedure is based on a minimum wash tree classifier good classification results obtained classifier
example_DAGlearn
- 程序是基于图论 , 对后验概率提取参数,使得很好的描述贝叶斯网络中变量之间的依赖关系-Program is based on graph theory, the extraction parameters on the posterior probability of such a good descr iption of the dependencies between variables in a Bayesian network