资源列表
LinkPredictionMatlab
- 链路预测程序,主程序，包含31个链路预测的函数代码-link prediction
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
HieraClust
- 针对聚类分析中的类间距离，包含多种源码程序，效果很好-For clustering analysis of distance between classes, including a variety of program source code, the effect is very good
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.
carrot2-algorithm-synthetic
- 开源搜索引擎Carrot2的层次聚类算法，由波兰学者Osinski编写。-Hierarchical clustering algorithm Carrot2 of open source search engine, prepared by the Polish scholar Osinski.
suanfasheji
- 常见算法设计与分析源代码，包括背包问题，n皇后问题，大整数乘法，阶乘问题，汉诺塔等-Common algorithm design and analysis of source code, including the knapsack problem, n queens problem, large integer multiplication, factorial problem, Tower of Hanoi, etc.
logisticPxgboost
- logistic模型变量选择以及xgboost算法实例-an example of logistic model selection and xgboost algorithm