• A new heuristic density-based ant colony clustering algorithm (HDACC) is presented.

    提出一种基于密度的启发性群体智能聚类算法。

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  • Sample papers on data flow, including density-based sampling, stratified sampling and other dynamic.

    关于数据流抽样的论文,包括基于密度的抽样,动态分层抽样等。

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  • And then in MTM system, we get region color features from the proposed color density-based clustering.

    然后在MTM系统中,利用颜色密度聚类的方法得到区域颜色的特征。

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  • This algorithm has all the merits of the existed density-based clustering algorithm and can deal with the date effectively.

    该算法既保持了一般基于密度算法的优点,也能有效地处理分布不均匀的数据。

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  • According to the characteristics of gene expression data, a high accurate density-based clustering algorithm called DENGENE was proposed.

    根据基因表达数据的特点,提出一种高精度的基于密度的聚类算法DENGENE。

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  • And the methods can be divided into portioning method, hierarchical method, density-based method, grid-based method and model-based method.

    现有的聚类分析算法可划分为:划分方法、层次的方法、基于密度的方法、基于网格的方法和基于模型的方法。

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  • After analysing manifold color clustering methods, we present two unsupervised methods based on 2-d chroma plane, i. e, the density-based triangulation method and the GA-based optimization method.

    在分析了多种颜色聚类方法的基础上,提出了2种无监督的二维色度平面颜色聚类方法:基于密度的三角化方法和遗传算法优化方法,并通过实验对2种方法进行了比对分析。

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  • This paper presents the electric enthalpy density-based Hamilton principle and its application in solving the problems with coupled mechanical and electrical properties of piezoelectric materials.

    研究基于电热函的广义哈密顿原理在压电材料的机(力)-电耦合效应分析中的应用。

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  • The architects based the density of the "forest" on the degree of transparency they wanted to achieve - either permitting or blocking views from the street and park.

    建筑师把“森林的密度”立基于他们想要实现的透明度上——要么允许来自街道和公园的风景,要么就阻隔它们。

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  • Based on the concepts of randomness and fuzziness, a fuzzy reliability analysis method of probability density function equivalent is proposed in this article.

    依据随机性和模糊性的基本概念,提出了当量概率密度函数的模糊可靠性分析方法。

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  • Also, MZRP modifies the limit of route length based on the node density, and results in rapider convergence during route query and maintenance in IERP.

    同时,根据节点密度调整了路径长度限制,使得区域间的路由查询和路由维护能够更快地收敛。

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  • Based on the analysis of actual data of density during fermentation, the mathematic model of density changes during pink wine alcohol fermentation was established.

    在分析桃红葡萄酒酒精发酵过程中密度实测数据的基础上,建立了桃红葡萄酒酒精发酵过程密度变化规律的数学模型。

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  • The algorithm first makes a top-down coarse location using the projection analysis of the edge density graph and then makes a bottom-up precise location based on the vertical edge linkage intensity.

    该算法首先通过对边缘密度图进行投影分析进行自顶向下的粗定位,然后在此基础上利用垂直边缘的连接强度进行自底向上的精确定位。

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  • The Out-lier algorithm based on density and attribution classical discrepant data protocol algorithm based on rough set theory were presented.

    提出了一种基于密度的孤立点因子算法和一种基于粗集理论的属性类别差异数据归约算法。

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  • An elastic meshing feature extraction method based on the stroke density is proposed.

    提出了一种基于笔画密度的弹性网格特征提取方法。

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  • They can be applied to molecular optical switches of high storage density, high switching rate, and high write erase cycle times based on their photochromism.

    基于这种光致变色性能,这类物质可用作存贮密度高、响应速度快及擦-写次数高的信息存储材料。

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  • With strong ability of discovery of arbitrary shape clusters and handling noise, density based clustering is one of primary methods for data mining.

    基于密度的聚类算法因其抗噪声能力强和能发现任意形状的簇等优点,在聚类分析中被广泛采用。

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  • It is based on the markov random field with new features, such as clique potential, initial nodes probability density.

    此应用是基于马尔可夫随机场的新特性:势团势能,初始节点的概率密度。

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  • In the paper, what is the typical sample of KNN is analyzed, and a method of samples selection based density is presented.

    论文针对KNN这种常用的文本分类方法,分析了什么是它的典型样本,提出了一种基于密度的样本选择算法。

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  • According to the relationship between auto correlation function and its spectral density, a new type of decision tree method based on signal analysis theory is proposed in this paper.

    该文根据自相关函数与谱密度函数之间的对应关系,提出了一种新的基于自相关函数的决策树归纳学习算法。

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  • On the basis of analysis and research of traditional clustering algorithms, a clustering algorithm based on density and adaptive density-reachable is presented in this paper.

    在分析与研究现有聚类算法的基础上,提出了一种基于密度和自适应密度可达的改进算法。

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  • Experimental results show that the new algorithm has better performance than Density Based Spatial Clustering of Applications with Noise (DBSCAN).

    实验结果表明,新算法较基于密度的带噪声数据应用的空间聚类方法(DBSCAN)具有更好的聚类性能。

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  • DBSCAN is a density based clustering algorithm that can efficiently discover clusters of arbitrary shape and can effectively handle noise.

    DBSCAN是一种基于密度的空间聚类算法,在处理空间数据时具有快速、有效处理噪声点和发现任意形状的聚类等优点。

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  • In this paper, a fast density based clustering algorithm is developed, which considerably speeds up the original DBSCAN algorithm.

    迄今为止人们提出了许多用于大规模数据库的聚类算法。基于密度的聚类算法DBSCAN就是一个典型代表。

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  • Methods: White matter density was compared among three groups by voxel-based morphometry.

    方法:用基于像素的形态学测量法比较三组的白质密度。

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  • Thus, detergent-based cellular fractionation separates cellular components with greater ease and speed compared to a more laborious density centrifugation method (4).

    因此,与费劲的密度梯度离心方法相比,基于洗涤剂的细胞法分馏能简单快速地分离细胞组分(4)。

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  • The new city is based on light density and therefore a vertical city, offering a new experience of the vertical city.

    新城市是一个提供新城市体验的低密度的垂直城市。

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  • All the nonlinear normalization methods resolve the above distortion based on density equalization, and differs on the stroke density description.

    各种非线性规范化的共同点在于它们都是基于密度均衡来解决上述变形,区别在于对笔画密度的描述不同。

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  • All the nonlinear normalization methods resolve the above distortion based on density equalization, and differs on the stroke density description.

    各种非线性规范化的共同点在于它们都是基于密度均衡来解决上述变形,区别在于对笔画密度的描述不同。

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