Description: 经典的基于网格和密度的聚类算法。适合处理大规模数据，效果很好-The classic grid-based clustering algorithm and density. Suited to deal with large-scale data, the effect of good Platform: |
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Author:肖宪 |
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Description: 这是一种基于密度的聚类分析算法，可以发现任意形状的簇，可以发现噪声点。-This is a density-based clustering analysis algorithm can find clusters of arbitrary shape can be found noise points. Platform: |
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Author:dys |
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Description: ：DBSCAN是一个基于密度的聚类算法。该算法将具有足够高密度的区域划分为簇，并可以在带有“噪声”的空间数
据库中发现任意形状的聚类。但DtLqCAN算法没有考虑非空间属性，且DBSCAN算法需扫描空间数据库中每个点的e一
邻域来寻找聚类，这使得DBSCAN算法的应用受到了一定的局限。文中提出了一种基于DBSCAN的算法，可以处理非空
间属性，同时又可以加快聚类的速度。-: DBSCAN is a density-based clustering algorithm. The algorithm has a sufficiently high density area is divided into clusters, and to be with the " noise" found in the spatial database clusters of arbitrary shape. But DtLqCAN algorithm did not consider non-spatial attributes, and spatial database DBSCAN algorithm to be scanned for each point e in the neighborhood to find a cluster, DBSCAN algorithm which makes the application subject to certain limitations. In this paper, an algorithm based on DBSCAN can handle the non-spatial attributes, can also speed up the clustering speed. Platform: |
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Author:sdc |
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Description: 相比其他的聚类方法，基于密度的聚类方法可以在有噪音的数据中发现各种形状和各种大小的簇。DBSCAN（Ester, 1996）是该类方法中最典型的代表算法之一（DBSCAN获得2014 SIGKDD Test of Time Award）。其核心思想就是先发现密度较高的点，然后把相近的高密度点逐步都连成一片，进而生成各种簇(Compared with other clustering methods, the density based clustering method can find various shapes and sizes of clusters in noisy data. DBSCAN (Ester, 1996) is one of the most typical representation algorithms in this kind of method (DBSCAN obtains 2014 SIGKDD Test of Time Award). The core idea is to find a point with higher density, and then gradually connect the similar high density points to a variety of clusters.) Platform: |
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Author:zkzfengyi |
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Description: adfne在MATLAB语言的语法构成的）一包的计算机代码三个维度基于随机模拟的校长产生的裂缝网络功能；函数表征合成的或进口的两和三维裂隙网络包括交叉分析、密度测量、连接性指数、聚类和其他许多人；为对两和三维裂隙网络可视化高度简化的功能；的功能，一般利用上述阶段，以延长其使用的实际应用，为进一步发展稳定的框架和工具，以节省所得的图、表和信息在适当的格式读取能够通过许多通用标准软件应用程序。(ADFNE is a package of computer codes in Matlab language syntax which consists of a) functions to generate fracture networks in two and three dimensions based on stochastic modelling principals; b) functions to characterize synthesized or imported two- and three-dimensional fracture networks including intersection analysis, density measures, connectivity indices, clustering and many others; c) functions for highly simplification of visualization of two- and three-dimensional fracture networks; and d) functions to generically utilize the above stages and to extend their use for practical applications, to provide stable framework for further developments, and tools to save the resulting maps, tables and information in appropriate formats readable by many common standard software applications.) Platform: |
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Author:你看起来好吃 |
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Description: 基于密度的聚类算法
它将簇定义为密度相连的点的最大集合，能够把具有足够高密度的区域划分为簇，并可在噪声的空间数据库中发现任意形状的聚类(Density based clustering algorithm
It defines the cluster as the largest set of density connected points, and can divide the region with enough high density into clusters, and can find clusters of arbitrary shape in the spatial database of noise) Platform: |
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Author:微染 |
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Search - density based clustering in matlab