查询词典 clustering

An improved K-Means Algorithm based on Density is presented,with which K value of clustering number is located according to the clustering objects distribution density of regional space,and it uses centroids of high -density region as initial clustering center points.

该算法采用聚类对象区域空间的密度分布方法来确定聚类个数K的值，然后用高密度区域的质心作为K-Means算法的初始聚类中心。

The upper bound of error probability is used as the criteria of clustering and the evaluation of the clustering result. On the basis of initiatory clustering based on distance functions, the algorithms named"pick-over"and"fill-up"are proposed to minimize the upper bound of error probability.

我们将聚类准则即模式相似性测度问题和聚类结果的评价指标统一为总的最小错误概率上界，在算法实现上，首先先用基于距离函数的聚类方法得到初分类，然后采用基于最小错误概率的&抽取&和&回填&算法得到使总的错误概率上界最小的聚类结果的分析方法。

Because there are the characteristics of uncertainty and mixing meta-pixels in the remote-sensing images, the classical fuzzy c-means method has a low accuracy in the remote-sensing image clustering. This paper improves the fuzzy c-means method. And it adds a-priori information into the patterns to change the method as a semi-supervised clustering. In the clustering process, the unlabelled patterns compare similarities with the labeled patterns, and then the accuracy of the algorithm can be increased.(3)The paper proposes an interactive learning-based image mining in remote sensing.

由于遥感图像各类别在特征空间中散点图的分布的特点，本文对传统的FCM聚类算法进行改进，并且加入先验信息之后，将原来的非监督的聚类变成一种半监督的聚类方法，通过与已标签的样本进行相似性比较，能有效地提高聚类算法的准确度。

The study proposed three methods which are the character clustering algorithm, the concept clustering algorithm of the aggregate computing and the concept clustering algorithm of the sememe distance.

本研究提出三种分群方法，分别是词形分群演算法、基於集合计算的概念分群演算法和基於义原距离的概念分群演算法。

Firstly, this paper carries a deep research of K-means which is one of clustering analysis algorithms, and proposes an efficient clustering algorithm based upon vector space initial clustering and nearby cluster search, which is composed of the two sub algorithms SPIC and CANC.

本文首先对聚类分析方法中的K-means算法展开深入研究，提出了一种基于向量空间预聚类和邻近簇调整聚类的高效聚类算法，该算法由两个子算法部分构成：SPIC子算法和CANC子算法。

In order to solve the problem of the clustering of the zeros of permanental polynomials of the fullerenes, a multi-dimensional stable marriage model is proposed, relevant algorithms are given, and the clustering problem is solved.

本文提出了多维稳定婚姻问题的模型，同时相应地给出了算法，并成功地应用于富勒烯积和多项式零点的聚类问题。

Multiple trials is the basic concept of many parallel simulated annealing. It is to perform multiple trials at the same time to search acceptable solutions. The division simulated annealing with no communication and The clustering simulated annealing are two common types of parallel simulated annealing methods. The division simulated annealing with no communication makes each processor generate its own adjacent solution from its own current solution and compute the acceptance probability for a adjacent solution. Each of the processors searches solutions without communicating each other. Clustering simulated annealing makes each processor generate its own adjacent solution from a common current solution and compute the acceptance probability for each adjacent solution. Then, it decides which adjacent solution should be used to replace current solution according to a pre-specified rule.

许多平行模拟退火法之理论依据为多向试验，利用同一时间探索更多方向的试验来拓展搜寻的广度或深度，不进行沟通的分工模拟退火法(the division simulated annealing with no communication)以及丛集模拟退火法(the clustering simulated annealing)皆为平行化的模拟退火法，前者定义为各个处理器针对各自的起始解进行搜寻，产生各自的搜寻序列，在搜寻过程中处理器不进行任何沟通，各处理器仅针对自身之目前解进行搜寻；而后者定义为让所有处理器针对同一目前解进行运算搜寻各自的可能解，并各自决定其产出解之接受机率，最后根据事先决定之规则进行沟通比较，挑选其中一个可接受解取代目前解。

Ascertainable clustering number and large training sets are vital problems of spectral clustering.

自动确定聚类数和海量数据的处理是谱聚类的关键问题。

In line with the cardinal principle of Clustering Intelligence Management, regard organization, personnel, technology, environment, system etc as the basic variable, analyze and investigate in terms of practical application, and has put forward the corresponding main attention point, not only has enriched the connotation of Clustering Intelligence Management, but also strengthened the realistic feasibility of studying conclusion.

本着集智管理的根本原则，以组织、人员、技术、环境、制度等为基本变量，从实际应用的角度作了分析和考察，并提出了相应的注意要点，不仅丰富了集智管理的内涵，还增强了研究结论的现实可行性。

The concept of genetic algorithm, its configuration, operators and existing problems are introduced in this paper. A new algorithm for clustering analysis is presented based on genetic algorithm. There are two characteristics in our approaches. Firstly, the algorithm is the general-purposed and our clustering analyzer can cluster large data set with mixed numeric and categorical attributes.

4介绍遗传算法的概念、算法结构、运算算子及主要存在问题；提出了一种基于遗传算法的聚类新方法MGA，该方法有两个主要优点：一是通用性强，可以对包含数值属性和符号属性的大数据集进行聚类；二是提高了数据挖掘的效率与质量。

More direct, directer ; most direct, directest

径直的，笔直的

Do you know how to use a chain saw?

你知道如何使用链锯吗？