Search - granular computing

Search - granular computing - List

[Windows Develop] rgckddm DL : 0: Rough-Granular Computing in Knowledge Discovery and Data Mining
Date : 2025-07-11 Size : 1.95mb User : parissa
[AI-NN-PR] Granularcomputing DL : 0: 粒计算的论文，共11篇，具有很高的参考价值，基于粒计算的文档聚类等等。-Granular computing papers, a total of 11, with a high reference value, document clustering based on granular computing and so on.
Date : 2025-07-11 Size : 1.91mb User : hurrican
[Other] 04530367 DL : 0: Granular Computing Based Data Mining in the Views of Rough Set and
Date : 2025-07-11 Size : 207kb User : shivu
[Documents] lijisuan DL : 0: 这是几篇关于粒计算在故障诊断中的应用，对学习粒计算的应用很有帮助。-This is a few on Granular Computing in Fault Diagnosis of learning the application of granular computing helpful.
Date : 2025-07-11 Size : 1.13mb User : zhaojie
[AI-NN-PR] Desktop DL : 0: 传统的K-medoids聚类算法的聚类结果随初始中心点的不同而波动，且计算复杂度较高不适宜处理大规模数据集；快速K-medoids聚类算法通过选择合适的初始聚类中心改进了传统K-medoids聚类算法，但是快速K-medoids聚类算法的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷，提出一种基于粒计算的K-medoids聚类算法。-Traditional clustering K-medoids clustering algorithm with the initial centers Different swings, and a high degree of computational complexity inappropriate handling large data sets Fast K-medoids clustering algorithm by selecting appropriate initial cluster centers to improve The traditional K-medoids clustering algorithm, but fast clustering algorithm K-medoids The initial cluster centers may be located in the same class clusters. In order to overcome the traditional K- Medoids defect clustering algorithm and fast K-medoids clustering algorithm, K-medoids one kind of clustering algorithm based on granular computing.
Date : 2025-07-11 Size : 2kb User : 问建丽
[matlab] 101259363Desktop DL : 0: 传统的K-medoids聚类算法的聚类结果随初始中心点的不同而波动，且计算复杂度较高不适宜处理大规模数据集；快速K-medoids聚类算法通过选择合适的初始聚类中心改进了传统K-medoids聚类算法，但是快速K-medoids聚类算法的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷，提出一种基于粒计算的K-medoids聚类算法。(The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clustering algorithm by choosing proper initial cluster centers to improve the traditional K-medoids clustering algorithm, but the initial cluster center of K-medoids clustering algorithm can be located in the same cluster. In order to overcome the shortcomings of the traditional K- medoids clustering algorithm and the fast K-medoids clustering algorithm, a K-medoids clustering algorithm based on granular computing is proposed.)
Date : 2025-07-11 Size : 2kb User : playboyplay2
[matlab] PSO algorithm DL : 0: 在粗糙集与粒计算中，对于常见的几种非线性规划的函数，运用PSO算法求出了相应的决策属性的权重(In rough set and granular computing, PSO algorithm is used to calculate the weights of the corresponding decision attributes for the common functions of nonlinear programming)
Date : 2025-07-11 Size : 6kb User : 格式化01
[matlab] 模糊粒计算支持向量机 DL : 0: 可以实现复杂环境下的预测，模糊粒计算下的支持向量机(Support Vector Machine Based on Fuzzy Granular Computing and Prediction in Complex Environment)
Date : 2025-07-11 Size : 286kb User : 小肥咩咩羊