聚类法,Clustering
1)Clustering[英]['kl?st?][美]['kl?st?]聚类法
1.The method uses some technologies such as association rules,pattern matching,grammars,clustering.该方法综合运用关联规则法、模式匹配、语法规则、聚类法等技术来抽取信息 ,从而较好地解决了现有的抽取方法准确性较差、通用性较差、人工干预较多的问题。
2)clustering and classification algorithms聚类分类法
3)Subtractive clustering减法聚类
1.BOF end-point temperature prediction model of fuzzy neural network system with subtractive clustering;基于减法聚类的模糊神经网络转炉终点温度预报模型
2.Design of hierarchical fuzzy systems based on subtractive clustering and adaptive neuro-fuzzy inference systems;基于减法聚类和自适应神经模糊推理系统的递阶模糊系统的设计
3.An integrated method was proposed by combining subtractive clustering and fuzzy C-means (FCM) clustering algorithms.在织物客观评估的基础上,提出了基于减法聚类与模糊C 均值(FCM)聚类的集成方法用于纺织品质量评估分析。
英文短句/例句

1.An Online Multi-model Identification Algorithm Based on Subtractive Clustering基于减法聚类的多模型在线辨识算法
2.Two-stage Hough Transform Track Initiation Algorithm Based on Subtractive Clustering基于减法聚类的两级Hough变换航迹起始算法
3.RBFNN Soft-sensor Modeling of Pellets Sintering Permeability Based on Subtractive Clustering Algorithm基于减法聚类算法的球团烧结透气性RBFNN软测量建模
4.Short-Term Electricity Price Forecasting Based on Subtractive Clustering and Adaptive Neuro-Fuzzy Inference System;基于减法聚类及自适应模糊神经网络的短期电价预测
5.The Fuzzy Neural Network Model Based on Subtractive Clustering and Its Application in the Agriculture;基于减法聚类的模糊神经网络模型及其在农业的应用
6.Driving fatigue fusion detection based on T-S fuzzy neural network evolved by subtractive clustering and particle swarm optimization减法聚类和粒子群优化TS模糊神经网络的驾驶疲劳融合检测(英文)
7.A Method for Reducing the Amount of Training Samples in KNN Text Classification Based on Clustering and Density基于聚类和密度的KNN分类器训练样本约减方法
8.Cluster Method of Support Vector Machine to Solve Large-scale Data Set Classification一种聚簇消减大规模数据的支持向量分类算法
9.Effect of structure and composition on ultrasonic attenuationand velocity of polymer has been studied by pulse-echo method.用脉冲回波法测定了甲基丙烯酸酯类共聚物的超声衰减与声速。
10.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
11.Preparation of Poly-1-Dodecene Drag Reducer by Bulk Prepolymerization本体预聚合法制备聚1-十二烯减阻剂
12.Application and Research Progress of Polycarboxylate Superplasticizer聚羧酸类高效减水剂研究进展及应用
13.Study on Allyl Polyethylene Glycol Based Polycarboxylate Superplasticizer烯丙基聚乙二醇系聚羧酸类减水剂的研究
14.Attenuation reflectance Fourier transformation infrared spectrometry(ATR FTIRs) combined with clustering analysis was used to identify genus Zanthoxlum .本实验采用衰减全反射傅立叶变换红外光谱法结合聚类分析方法定性鉴别花椒属生药材。
15.Two-Stage Text Clustering Based on Collaborative Clustering基于协同聚类的两阶段文本聚类方法
16.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
17.Outliers detection method based on K-means and agglomerative clustering基于K-均值聚类和凝聚聚类的离群点查找方法
18.A rare-class classification approach based on Clustering and Ripper基于聚类和Ripper的稀有类分类方法
相关短句/例句

clustering and classification algorithms聚类分类法
3)Subtractive clustering减法聚类
1.BOF end-point temperature prediction model of fuzzy neural network system with subtractive clustering;基于减法聚类的模糊神经网络转炉终点温度预报模型
2.Design of hierarchical fuzzy systems based on subtractive clustering and adaptive neuro-fuzzy inference systems;基于减法聚类和自适应神经模糊推理系统的递阶模糊系统的设计
3.An integrated method was proposed by combining subtractive clustering and fuzzy C-means (FCM) clustering algorithms.在织物客观评估的基础上,提出了基于减法聚类与模糊C 均值(FCM)聚类的集成方法用于纺织品质量评估分析。
4)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。
5)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
6)clustering method聚类方法
1.Client transaction behavior pattern recognition based on clustering method;基于聚类方法的客户交易行为模式识别
2.This paper using clustering method analyzes the relevant data of rural residents consumption in China.本文运用数理统计学中的聚类方法,对我国农村居民消费的相关数据进行分析,首先得出我国农村居民消费结构的阶段性演变特征,说明国家政策对农村居民生活水平影响显著。
3.In this paper,clustering methods in large databases are analyzed and classified.本文对应用于大型数据库的聚类方法做了分析,并进行分类,列举了每类中的典型的聚类算法及其局限性,最后论述了将聚类技术应用于大型数据库的相关技术、基本准则以及以后的研究方向。
延伸阅读

动态模糊聚类法分子式:CAS号:性质:又称动态模糊聚类法。选定一批聚类中心,其指标能反映该类的特征,将样本向最近的聚类中心聚类。再根据分类结果确定新的聚类中心,其各项指标为该类中所有样本的相应指标的平均值。然后计算前后两聚类中心的差异,如差异大于某一阈值,说明分类不合理,需修改分类,即以新的聚类中心代替旧的聚类中心,直到前后两聚类中心的差异小于某一阈值,认为分类合理,从而终止分类过程。