Description: cluster in quest聚类算法是基于密度和网格的聚类算法。对于大型数据库的高维数据聚类集合。-cluster in quest clustering algorithm is based on the density of the grid and clustering algorithm. For large database of high-dimensional data clustering pool. Platform: |
Size: 4445 |
Author:陈妍 |
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Description: DGCL （An Efficient Density and Grid Based Clustering Algorithm for Large Spatial Database）的实现代码，费了很长时间才实现的-DGCL (An Efficient Density and Grid Based C. lustering Algorithm for Large Spatial Databas e) the realization of code, and a very long time to achieve the Platform: |
Size: 2092434 |
Author:adrian |
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Description: cluster in quest聚类算法是基于密度和网格的聚类算法。对于大型数据库的高维数据聚类集合。-cluster in quest clustering algorithm is based on the density of the grid and clustering algorithm. For large database of high-dimensional data clustering pool. Platform: |
Size: 4096 |
Author:陈妍 |
Hits:
Description: DGCL （An Efficient Density and Grid Based Clustering Algorithm for Large Spatial Database）的实现代码，费了很长时间才实现的-DGCL (An Efficient Density and Grid Based C. lustering Algorithm for Large Spatial Databas e) the realization of code, and a very long time to achieve the Platform: |
Size: 2092032 |
Author:adrian |
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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: |
Size: 197632 |
Author:肖宪 |
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Description: CLIQUE（Clustering In QUEst)是一种简单的基于网格的聚类方法，用于发现子空间中基于密度的簇。CLIQUE把每个维划分成不重叠的区间，从而把数据对象的整个嵌入空间划分成单元。它使用一个密度阈值识别稠密单元和稀疏单元。一个单元是稠密的，如果映射到它的对象数超过该密度阈值。(CLIQUE (Clustering In QUEst) is a simple grid based clustering method for the discovery of clusters based on density in subspace. CLIQUE divides each dimension into a non overlapping interval, dividing the entire embedded space of the data object into a unit. It uses a density threshold to identify dense and sparse units. A unit is dense, if the number of objects mapped to it is more than the density threshold.) Platform: |
Size: 15360 |
Author:景_天
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