资源列表
0928lvbo
- 模糊辨识模糊控制人工智能
DataMining
- 基于K-mean以及其他算法的数据挖掘，主要是乳腺癌数据集，附有数据集-Data mining based on K-mean, as well as other algorithms, mainly breast cancer data sets, with data sets
FP-Growth
- 数据挖掘算法，FP-Tree算法VS实现-The data mining algorithm, FP-Tree algorithm VS implementation
FP_Growth-python
- FP-Tree算法，用python实现的。-FP-tree algorithm implemented with Python.
w27
- 适合处理海量数据的python源码，可读入txt和csv 格式文件。-Suitable for massive data processing python source, read into txt and csv Format files.
AprioriMain
- Apriory算法是数据挖掘中常用的挖掘初始数据的算法，传统的apriory算法在大数据的情况下实现效率很低，我通过java中的hash结构进行了改进，将效率提高。-Apriory data mining algorithms commonly used in the initial data mining algorithms, the traditional apriory inefficient algorithm in the case of large data, I have bee
bayes
- 首先对数据进行拆分，分为测试集与训练集，通过训练集进行贝叶斯网络的建模，最后利用建立的模型进行预测或分类任务的R语言代码-First, the data is split into a training set and test set, Bayesian network modeling through the training set, and finally the use of the model to predict or classify tasks R language code
IG
- 实现计算特征的信息增益，最后一列为样本标签，输出为特征的信息增益值及对应的序列号-Calculated to achieve gain characteristic information, and finally as a sample of tag output information characteristic of the gain value and the sequence number corresponding to
CHI
- 计算特征的卡方校验值，最后一列为样本标签，输出为特征的卡卡校验值及对应的特征序列号-The chi-square calculate checksum feature, the last one as a sample label, the output characteristics of the card verification value and the corresponding serial number feature
bayes
- 基于自然对数改进的朴素贝叶斯,统计TPR,NPR,TFR,TPR-Based on the natural logarithm improved Naive Bayes
openlogic-tomcat-7.0.12-windows-amd64-bin-1
- good coding for beginner
LogisticRegression
- 本例是用Python写的简单的逻辑回归的例子，可以下载试试。-This case is an example of a simple logistic regression written in Python, you can download a try.