资源列表
DPCxy
- Science上发表的Clustering by fast search and find of density peaks，该代码为我改编后的matlab密度峰聚类算法代码-Science Clustering published on the by fast search and find of density peaks, the code for my adaptation of the MATLAB density peak clustering algorithm code
holt_winters
- holt-winters 三次指数平滑算法,时间序列预测算法，带测试数据及Demo-Triple Order Exponential Smoothing, Holt-Winters algorithm, time series prediction algorithm with test data and Demo
high-and-low-pass
- 实现对振动传感器的数据预处理，可以对信号实现高通和低通数据处理。-Data pre-processing of vibration sensor, can signal high-pass and low-pass data processing.
Cart-tree
- 实现CART树回归，树的生成与剪枝过程，并与简单线性回归进行对比-Implement a regression tree generation algorithm when the leaf nodes indicate 3rd order polynomials. Test your program with the dataset and compare the results with those of simple linear regression
CAN-code
- 自适应临近聚类算法/集群和投影聚类/自适应的邻居 -Clustering and Projected Clustering with Adaptive Neighbors. The 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York, USA, 2014
xgboost
- xgboost算法源码，含基本示例（训练、建模、预测）。-Xgboost algorithm source code, including the basic examples (training, modeling, forecasting).
fenciledebeiyesi
- 中文文本分词系统+基于贝叶斯算法的文本分类源码，用matlab实现。-Chinese word segmentation system+ based on Bayes text classification source code, using matlab implementation.
python-fp-growth-master
- source code for fp_grouth algorithm by paython
Cluster
- 机器学习和数据挖掘中常用的K-means聚类算法，包含两个文件，kmeans.py是Python实现代码，bank-data.csv是测试数据-Machine learning and data mining commonly used K-means clustering algorithm contains two files, kmeans.py is a Python implementation code, bank-data.csv test data
SILPMKL
- 用于回归的多核学习之MKL-wrapper算法程序，编写语言为python，运行环境为linux。-For multi-core the MKL- wrapper of learning algorithm of regression procedure, is the written language python, running environment for Linux.
lasso
- 使用lasso方法，对特征矩阵进行优化特征选择（向量选择），使其达到最优。-Use lasso method, optimize the characteristic matrix feature selection (vector selection), to the optimal.
C4.5
- C4.5算法的matlab实现，里面有标准数据集作为实例进行演示-C4.5 algorithm matlab implementation, which has a standard data set as an example to demonstrate