1)clustering algorithm聚类算法
1.An improved fuzzy clustering algorithm;一种改进的模糊聚类算法
2.Scan line seed fill based clustering algorithm for two-value image;基于扫描线种子填充的二值图像聚类算法
3.Strategy-making method of overhead line control and undergroundcable retrofitting based on clustering algorithm;基于聚类算法的架空线路入地改造控制决策方法
英文短句/例句
1.New Non-hierarchical Clustering Objetives and the Algorithms to Optimal Clustering;动态聚类新方法及最优聚类算法研究
2.Improved KNN using clustering algorithm基于聚类算法的KNN文本分类算法研究
3.Subspace Clustering Algorithm Based on k Most Similar Clustering基于k最相似聚类的子空间聚类算法
4.Combine of FCM Algorithm and Improved Hierarchical Clustering AlgorithmFCM聚类算法与改进层次聚类算法的结合
5.Research on clustering algorithm based on fusion of ant colony and genetic algorithm蚁群与遗传算法融合的聚类算法研究
6.Research on Improvement to Partitioning Clustering Algorithm and Density-based Clustering Algorithm;划分聚类与基于密度聚类算法的改进方法研究
7.Research on Subspace Clustering Algorithm on High-dimensional Categorical Datasets;高维分类属性的子空间聚类算法研究
8.Classification of stars/galaxies based on AutoClass基于自动聚类算法(AutoClass)的恒星/星系分类
9.Gaussian kernel-based dynamic clustering algorithm一类基于高斯核的动态聚类算法研究
10.Study on class merging cluster algorithm based on Fuzzy C-Means基于模糊C均值算法的类合并聚类算法研究
11.Research of Fuzzy Clustering Algorithm and Its Application on Web Session;Web事务聚类中模糊聚类算法的应用研究
12.Research on Clustering Algorithm and Its Application in Page Clustering聚类算法及其在页面聚类中的应用研究
13.A Kernel C-Means Clustering Algorithm with Meliorated Initial Center初始聚类中心优化选取的核C-均值聚类算法
14.Improved Fuzzy C Means Clustering Algorithm Based on Selecting Initial Clustering Centers基于初始聚类中心选取的改进FCM聚类算法
15.Multi-class Classification of BT-SVM Based on Improved FCM Clustering基于改进FCM聚类的BT-SVM多类分类算法
16.Key Frames Extraction Based on Simu-FCM Clustering类模糊C均值聚类的关键帧提取算法
17.Novel Fuzzy Clustering Algorithm Based on Nature Inspired Computation;基于自然计算的模糊聚类新算法研究
18.Studies on New Fuzzy Clustering Algorithms and Clustering Validity Problems模糊聚类新算法与聚类有效性问题研究
相关短句/例句
cluster algorithm聚类算法
1.Applying fuzzy cluster algorithm to Web information retrieval;模糊聚类算法在Web信息搜索中的应用
2.An improved K-means cluster algorithm一种改进的K-均值聚类算法
3.A learning algorithm based on cluster algorithm is presented and the ratio of recognition gets improved a lot.提出了一种基于聚类算法的选择原型向量的方法。
3)clustering[英]['kl?st?][美]['kl?st?]聚类算法
1.To enhance the accuracy of hierarchical clustering algorithm,based on a study of space-constrained application,and using the Single Link algorithm as an example,the impact of space-constrainment is certificated to the result.为提高基于凝聚的层次聚类算法的准确率。
2.Support vector machines(SVMs) expert has a two-stage neural network architecture of SVMs,In the first stage,self-organizing feature map(SOM) is used as a clustering algorithm to partition the whole load input data into several disjointed regions,and the training data with similar features in the input space are belonged to the same region.将支持向量机专家系统混合模型应用于短期负荷预测采用方法分为2个阶段:应用神经网络中的聚类算法将历史数据分割成不相连的数据域;对每个数据域选择最佳核函数预测单个SVMs。
3.The emphasis of the thesis is to propose a model of image-meta search engines,and a vectorization method is adopted to apply HACM(hierarchical agglomerative clustering methods) clustering techniques on images search that are then optimized by a specially designed genetic algorithm.提出一种基于改进的HACM(hierarchical agglomerative clustering methods)聚类算法和遗传算法的图像元搜索引擎模型,Web图像向量化表示之后运用HACM聚类技术进行分类,然后通过特殊设计的遗传算法对检索结果进行优化排序,最后将排序后的更精确的图像集提供给用户。
4)clustering algorithms聚类算法
1.The application of clustering algorithms of fraud recognition in the car insurance CRM business欺诈识别聚类算法在分析型车险CRM中的应用
5)clustering arithmetic聚类算法
1.he new clustering arithmetic is ameliorated and implemented,which in on the foundation of a communicate pro-prietor in this paper.根据某通信运营商经营分析系统的要求,改进并实现了一种新的聚类算法,对该运营商的客户概况进行分析。
2.According to the output of groups of performance stability criterion value of the electrical engineering system,clustering arithmetic to cluster calculate the groups of criterion value was used,each group of criterion value category and category levels of mutual relation were obtained,the pedigree cluster char was mapped out.根据机电系统输出的各组性能稳定性指标值,利用聚类算法对其指标值进行了聚类计算,得出了各组指标值的聚类水平及类级关系,并绘出了聚类谱系图。
6)ClusterTree聚类树算法
延伸阅读
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