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Search - clique clustering - List
[
Mathimatics-Numerical algorithms
]
clique(Clustering)
DL : 0
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
Date
: 2008-10-13
Size
: 39.19kb
User
:
肖宪
[
Other resource
]
聚类CLIQUE算法 的基本思路
DL : 0
聚类CLIQUE算法 的基本思路.zip-clustering algorithm basic ideas. Zip
Date
: 2008-10-13
Size
: 160.17kb
User
:
朱辉辉
[
AI-NN-PR
]
聚类CLIQUE算法 的基本思路
DL : 0
聚类CLIQUE算法 的基本思路.zip-clustering algorithm basic ideas. Zip
Date
: 2025-07-16
Size
: 160kb
User
:
朱辉辉
[
AI-NN-PR
]
25110544258
DL : 0
Clique聚类的java简单实现,有数据挖掘的可以下来-Clique realize a simple clustering of java, there are data mining can be down
Date
: 2025-07-16
Size
: 1.61mb
User
:
sl
[
Mathimatics-Numerical algorithms
]
clique(Clustering)
DL : 2
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
Date
: 2025-07-16
Size
: 193kb
User
:
肖宪
[
Linux-Unix
]
CLICKS
DL : 0
clique code with sample data set. clique is a data clustering algorithm which follows hierarchical clustering method.
Date
: 2025-07-16
Size
: 734kb
User
:
kkolli
[
matlab
]
Clique
DL : 0
实现clique聚类,包含sample,有助于clique聚类的学习-Clique clustering to achieve, including the sample, contribute to the learning clique clustering
Date
: 2025-07-16
Size
: 1.61mb
User
:
ANNA
[
Windows Develop
]
Code_McCaffrey_TestRun1111
DL : 0
clique clustering algorithm dataming baodt update
Date
: 2025-07-16
Size
: 5kb
User
:
dinhthibao
[
Algorithm
]
clique
DL : 0
Clique 子空间聚类算法 自底向上搜索-Clique Subspace clustering algorithm Bottom-up search
Date
: 2025-07-16
Size
: 36kb
User
:
吴一戎
[
Other
]
wheats-master
DL : 0
基于网格的聚类算法,经典的clique算法的java实现,(Grid-based clustering algorithm, the classic clique algorithm java implementation,)
Date
: 2025-07-16
Size
: 16kb
User
:
虹2122
[
JSP/Java
]
CLIQUE
DL : 0
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.)
Date
: 2025-07-16
Size
: 15kb
User
:
景_天
[
JSP/Java
]
clique
DL : 0
使用java为开发语言,基于高维空间网格聚类算法CLIQUE(Use java as the development language, based on high dimensional space grid clustering algorithm CLIQUE)
Date
: 2025-07-16
Size
: 1kb
User
:
左左1111
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