资源列表
Kmeans
- 直接输入图片，以及类别数，返回分类结果，聚类中心，跌代次数。-Directly enter the picture, as well as the number of categories, the classification result is returned, the cluster center, down the number of generations.
SVMshift
- 支持向量机漂移程序，用于将多类别分割的数据支持向量推移到稳定的边界-SVM shift
PCA
- 利用MATLAB语言，主成分分析源代码，有具体分析距离，程序有详细注释-Using MATLAB language, principal component analysis source code, a detailed analysis the program detailed notes
bp
- 可以采用神经网络对时间序列进行预测，具有较好的效果-The neural network can be used to predict the time series, which has better effect.
EMOTION
- 介绍了情感分析与数据挖掘的相关算法，大数据智能-Introduces the sentiment analysis algorithms and data mining
GAKMeans
- 由于Kmeans聚类分析是一个局部的搜索过程，因此加入遗传算法进行全局搜索选择最优的初始中心点使得Kmeans算法产生较大的改进-Since Kmeans Cluster analysis is a local search process, so join a global search for the genetic algorithm to the optimal initial centers such Kmeans algorithm produces greater improve
EMKmeans
- 在线KMeans算法不同于一般的聚类，其主要算法为梯度下降法-Online KMeans Unlike clustering algorithm, the main gradient descent algorithm
LogitTwice
- 基于逻辑回归的二分类算法代码，能很好的实现-Binary logistic regression based algorithm code, can achieve a good
LogitMul
- 基于逻辑回归的多分类问题，可以实现至少三类数据的分类-Classification based on multiple logistic regression, classification can be achieved at least three types of data
lingoCluster
- 用于自然语言处理中的Lingo聚类算法，是carrot2开源搜索中的核心代码。由波兰学者Osinski编写-For natural language processing Lingo clustering algorithm, is carrot2 open source search in the core code. Prepared by the Polish scholar Osinski
kmeansCluster
- 开源搜索Carrot2中的kmeans聚类算法（作为性能对比用），由波兰学者Osinski撰写。-The open source search Carrot2 kmeans clustering algorithm (used as a performance comparison), written by the Polish scholar Osinski.
STC_clustering
- 开源搜索Carrot2中的STC文档聚类算法，由波兰学者Osinski编写。-Open source search Carrot2 the STC document clustering algorithm, prepared by the Polish scholar Osinski.