资源列表
PCA
- 主元分析算法的matlab实现，可实现数据降温处理，模块完整，可直接应用。-Principal component analysis
OPTICS-algorithm
- optics 算法作为基于密度的聚类算法的一种重要的改进，十分有借鉴的意义。-Called algorithm for clustering algorithm based on density is an important improvement, very have reference significance.
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
Ap
- 数据挖掘中关联规则挖掘算法-apriori，的Python实现，代码中有测试样本-Data mining association rule mining algorithm-apriori, implementation of Python code in a test sample
R-3.3.1
- 距离判别法（通过计算待测点到各个分类的距离，在根据计算出距离的大小，进行判别该待测点属于那个分类）-discriminant distance
closet-pair-problem
- 求平面内中距离最短的两点的距离,使用分治算法实现的C++代码-closet pair problem
Kmean
- KMEAN聚类,主要是提供聚类封装函数，只需传人参数-KMEAN clustering, clustering is mainly to provide package function only transmission parameters
BasicELM
- 用一个简短的例子说明了随机权神经网络算法，算是对深度学习的入门的一个小的巩固-With a brief example illustrates the random weights neural network algorithm, considered for entry-depth study of a small consolidation
Congressional-voting-similarity
- 用相似性矩阵计算出有相似投票倾向的议员，同时预测其党派倾向-Congressional voting similarity
ml
- 模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
logRegres
- 机器学习中的逻辑回归算法，利用python实现的算法-Logic regression algorithm in machine learning, using Python to achieve the algorithm
时间序列分析及应用第二章习题答案
- 时间序列分析及应用第二章习题答案 R语言