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clustering相关的网络例句

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与 clustering 相关的网络例句 [注:此内容来源于网络,仅供参考]

After analyzing the shortages of the existing algorithms for frequent pattern clustering,proposes an algorithm for creating compressed partial order based on pattern clustering function.Experiment result shows the compression arithmetic has higher proficiency and qualify,also can obtain much less number and much more information pattern.Thereby can find out more interesting of visited frequent sequential than the normal algorithm.

分析了现有频繁模式聚类算法的不足,提出了在模式聚类函数的基础上生成一个压缩的偏序的算法,实验结果显示该算法可以对频繁序列模式进行高效、高质量的压缩,可以得到数量更少、信息量更大的模式,从而提高发现的频繁访问序列的兴趣性。

Through the adjacency matrix, computing networks, clustering coefficient.

通过邻接矩阵,计算网络的聚类系数。

Chapter 3 presents a clustering approach based on adjacency and similarity.

提出了基于邻近性和相似性的空间聚类方法。

Based on these potential costs and benefits, we believe that most regions will fall into one of the three categories with respect to the advisability of adopting a clustering strategy.

基于这些潜能费用和利益,我们相信大多数的区域将会区分为三个有尊敬的种类之一到那采用一个聚集策略的明智。

The example shows that the algorithm is better than traditional agglomerate hierarchical clustering algorithm.

实例分析表明,本文的算法优于传统的凝聚层次聚类算法。

Clustering Analysis of Population Aging in China.

中国人口老龄化的聚类分析。

The process consists of:First of all, basing on the statistical data through a market survey, this paper uses the methods of principal component analysis and K-means clustering to analyze the AIO lifestyle variables and divides college notebook market into social-oriented consumers market, economy - oriented market, self-oriented consumer market and fashion-oriented consumer market from the perspective of lifestyle;In the following, make analysis of the differences on the assessment of the product attributes in different segment markets to support the marketing strategies for Lenovo;Finally, in accordance with the college segment of the consumer lifestyle preferences and product characteristics, choose the differentiation strategy and gives recommendations on marketing mix strategy for Lenovo.

主要工作如下:首先,本文通过市场调查获取数据,以AIO生活方式变量作为集群划分的基础,通过主成份分析法和K-means聚类,将高校笔记本市场从生活方式的角度细分为社交导向型消费者市场、经济导向型消费者市场、自我导向型消费者市场和时尚导向型消费者市场;接着,本文研究了按生活方式划分的各高校消费者集群在产品属性评估上的差异,从而得出各细分市场的特征,为营销战略的制定提供支持;最后,根据各高校细分市场消费者的生活方式上的特点和产品偏好,实施差异化战略,在各细分市场给联想笔记本提出市场营销组合策略方面的建议

In order to overcome this difficulty,a clustering algorithm based on dynamic division of connected graph is proposed.

当前大部分的聚类算法都难以处理任意形状和大小、存在孤立点和噪音以及密度多变的簇,为此,文中提出了一种基于连通图动态分裂的聚类算法。

This paper proposes an algorithm of division and multi-level clustering with multi-strategy optimization,which bases on study of today's mature algorithms.

本文在研究已有成熟算法的基础上,提出了基于分治多层聚类的话题发现算法,其核心思想是把全部数据分割成具有一定相关性的分组,对各个分组分别进行聚类,得到各个分组内部的话题,然后对所有的微类再进行聚类,得到最终的话题,在聚类的过程中采用多种策略进行优化,以保证聚类的效果。

FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object and different minimum similarity between the clusters.

FCM算法是一种基于划分的聚类算法,它的思想就是使得被划分到同一簇的对象之间相似度最大而,不同簇之间的相似度最小。

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