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1)  cluster probability
聚类概率
2)  Statistical clustering
概率统计聚类
3)  probability-based clustering
概率聚类算法
1.
Assumed that we have known the number of clusters, we oftenuse probability-based clustering algorithms to partition data into classes, making thesimilarity as small as feasible in the same class, and as big as possible between classes.
在进行基于概率的聚类分析的时候,往往事先假设已知数据将分为K组,然后通过概率聚类算法进行分组,使得一组中的成员彼此相似,而与其他组的成员尽可能的不同。
4)  probabilistic-model-based clustering
基于概率模型的聚类
1.
The fitness of cluster model to data distribution is critical to probabilistic-model-based clustering.
在基于概率模型的聚类中,簇模型对数据分布的拟合性直接影响着聚类质量。
5)  conceptual clustering
概念聚类
1.
Next,a fast fuzzy conceptual clustering algorithm is proposed to cluster the fuzzy concept lattice into conceptual clusters.
提出了一种在格的拓扑序列上进行概念聚类的快速算法,并且定义了概念聚类间基于偏序的层次关系。
2.
The system applies conceptual clustering technology to recognize outliers, and uses plan recognition and causal network to predict and recognize the target.
通过概念聚类识别孤立点,运用规划识别技术和贝叶斯因果网络实现目标的预测、识别,最终实现系统自学习。
3.
Directing against many classes and strong independency of education resource element, this paper studies the problem of classifying and merging field knowledge by conceptual clustering method, and implements dynamic conceptual clustering algorithm and merging alg.
针对教育资源元素材种类多、独立性强等特点,研究了概念聚类方法解决领域知识的分类和归并问题,并实现了概念的动态聚类算法和归并算法,分析了该算法的效率和聚类准确性。
6)  Concept Clustering
概念聚类
1.
Focused on the issue of knowledge sharing in organization knowledge management,a knowledge map model used knowledge space triple(Knowledge,Property,Relation) as context is presented,and a concept clustering model and algorithm of knowledge map is given to build knowledge map and the Hasse diagram.
针对组织知识管理中知识共享问题,运用知识地图作为工具来促进知识共享,建立了以知识空间三元组(知识、属性、关系)为背景的知识地图模型,并设计了一种知识地图的概念聚类算法。
2.
Focusing on the issue of knowledge share in organization knowledge management,a knowledge map model used knowledge space triple(Knowledge,Property,Relation) as context is given to build knowledge map,which based on some concept clustering algorithm.
本文基于概念聚类的基本算法,针对组织知识管理中知识共享问题,建立一个以知识空间三元组(知识、属性、关系)为背景的知识地图模型。
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