资源列表
OnRelationalPossibilisticClustering
- 一篇基于可能性理论的数据聚类分析的经典文献。很值得阅读，有一些未解决的难点，可以进一步深入研究！-The possibility of a theory based on cluster analysis of data from the classical literature. Is worth reading, there are some unresolved difficulties, can be further in-depth study!
SummerizationOfMachineLearning
- 机器学习中集成学习越来越受到人们的关注，这是一篇较为全面的有关集成学习的综述性文献！尤其值得入门者阅读！-Integration of machine learning to learn more and more attention, this is a more comprehensive overview of the integrated study of literature! Particularly beginners to read!
CSChallanges07PRScience
- 一篇有关模式识别的07年综述文献！作者是该领域国际有名的大学者！-An article on the pattern recognition literature overview in 2007! The author is in the field of world-renowned scholar!
Dataanalysiswithfuzzyclusteringmethods
- 一篇研究非常充分，相关问题阐述非常清楚的有关聚类分析的期刊论文！-A study is very full and very clear on the issues related to cluster analysis of the relevant journal articles!
hamilton
- 哈密尔顿回路包括模拟退火及其他即运用哈密尔顿解决问题-hamilton
RobustClusterValidityIndexes
- 聚类中的难点在于确定类别个数，本文献是一篇较为经典的相关研究成果！值得拜读！-Clustering is to determine the type of the number of difficulties, the classic literature is a more relevant research results! Worth reading!
ClusteringAlgorithmsResearch
- 一篇较为经典的聚类算法综述文献,发表于软件学报！值得研究数据分析的入门者参考！-A clustering algorithm is more classical Review of literature, published in the Journal of Software! Data analysis is worth studying the entry reference!
Autoclust.pdf.tar
- 这就是点集自动聚类的算法，基于delaunay三角剖分。-This is the point set automatic clustering algorithm, based on the delaunay triangulation.
chap4_7f2
- 基于神经网络的PID参数整定! 可以做为学习之用!-Based on neural network PID parameter tuning! Can be used as learning!
MOPandGA
- 使用强变异演化算法处理高维决策向量情况下的多目标优化问题-Strong variation of the use of evolutionary algorithms to deal with high-dimensional vector in decision-making in case of multi-objective optimization problem
TSP_final
- TSP程序,采用C#实现，可解决旅行商问题,参数设置可视化-TSP program, using C# to achieve, solve the traveling salesman problem, visualization parameters
src
- 使用k-means和fcm实现聚类，可选择有效性指标-And the use of k-means clustering to achieve fcm the option of the effectiveness of indicators