资源列表
K-means
- k-means简单实现，实现了k近邻的实现，以图像的形式显示出来，简单实用-k-means simple to achieve achieve a k neighbors realized and presented in the form of an image, simple and practical
ml2
- 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
enrichment.function
- 为基因序列进行富集功能分析，对具有已知功能的基因进行筛选并列出富集的基因-Functional analysis for gene array
k_means
- 这是数据挖掘中的k均值聚类算法，用java语言编写的，对于搞聚类的人士很有帮助-This is the data mining k-means clustering algorithm, using java language, for persons engaged in clustering helpful
AdaBoost
- 用python实现的AdaBoost分类算法，文件是一个ipython notebook，可以直接用ipython/jupyter打开使用。内附简单测试数据集。 程序运行需要numpy库的支持。-An AdaBoost classifier implemented with Python.
AdaBoost
- Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。-Adaboost is an iterative algorithm, the core idea is the same training set for training different classifiers (weak classifiers), then these weak classifiers together to f
linear-regression
- 使用matlab实现机器学习最常用的linear regression算法-Using matlab realize learning machine most commonly used linear regression algorithm
k-means-Clustering
- simple k-means implementation with Persian comments
MATLAB-generate-fuzzy-rules
- MATLAB通过数据挖的方法，得到模糊控制规则，用来进行模糊控制。-MATLAB through data mining method to obtain a fuzzy control rule for fuzzy control.
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
ML_Metric-function
- 上传的代码为多标签数据分类的度量函数 用于对多标签数据分类进行效果上的度量-Upload code for the multi-label data classification function is used to measure multi-label classification data to measure the effect on
wavelet_test_animation
- 对于振动传感器采集的数据，利用小波变换，得到数据时频的动画。-For vibration data collected by sensors using wavelet transform to obtain frequency data animation.