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Disk formation in a hierarchical clustering model     Disk formation  hierarchical clustering model       font style='font-size:12px;'> 2009/6/5
Disk formation in a hierarchical clustering model。
This work addresses the issue of better considering the heterogeneity of precipitation fields within lumped rainfall-runoff models where only areal mean precipitation is usually used as an input. A me...
The use of unsupervised artificial neural network techniques like the self-organizing map (SOM) algorithm has proven to be a useful tool in exploratory data analysis and clustering of multivariate dat...
We inquire the phenomena of clustering of galaxies in an expanding universe from a theoretical point of view on the basis of thermodynamics and correlation functions. The partial differential equation...
Geological studies show evidence for temporal clustering of large earthquakes on individual fault systems. Since post-seismic deformation due to the inelastic rheology of the lithosphere may result in...
2007Vol.48No.1pp.159-162DOI: Clustering and Synchronization in an Array of Repulsively Coupled Phase Oscillators LI Juan, WU Liang, and ZHU Shi-Qun School of Physical Sc...
2007Vol.47No.6pp.1135-1142DOI: Non-Gaussian and Clustering Behavior in One-Dimensional Polydisperse Granular Gas System CHEN Zhi-Yuan,1,2 ZHANG Duan-Ming,1 ZHONG Zhi-Cheng,1,3 an...
Genomic Signal Enhancement by Clustering      genomic signals  cluster analysis        font style='font-size:12px;'> 2007/8/15
2003Vol.39No.5pp.631-634DOI: Genomic Signal Enhancement by Clustering ZHENG Wei-Mou Institute of Theoretical Physics, Academia Sinica, Beijing 100080, China Beijing Geno...
PP K-MEAN CLUSTERING      Projection pursuit  K-mean clustering  a.s          font style='font-size:12px;'> 2007/8/7
In this paper, we propose a dimension-reducing, K-mean clustering procedureby Projection Pursuit (PP) technique so as to explore the clustering structure of data in high-dimensional space in terms of ...
ESPClust: An Effective Skew Prevention Method for Model- Based Document Clustering           font style='font-size:12px;'> 2007/7/28
期刊信息 篇名 ESPClust: An Effective Skew Prevention Method for Model- Based Document Clustering 语种 英文 撰写或编译 作者 Xiaoguang Li,Ge Yu,Daling Wang,Yubin Bao 第一作者单位 刊物名称 Lecture Notes in Computer Sciences. 页面 Vo...
Cluster validity for fuzzy criterion clustering,(SCI)           font style='font-size:12px;'> 2007/7/28
期刊信息 篇名 Cluster validity for fuzzy criterion clustering,(SCI) 语种 英文 撰写或编译 作者 Esogbue A.O.and 刘宝碇 第一作者单位 刊物名称 Computers & Mathematics with 页面 1999,Vol.37,Nos.11-12,95-100 出版日期 1999年 月 日 文章标识(ISSN) 相关项目...
会议信息 篇名 Power system load forecasting based upon combination of Markov chain and fuzzy clustering 语种 中文 撰写或编译 撰写 作者 Chen Xun,Xu Layuan and Ren Xuemei 第一作者单位 北京理工大学 会议名称 Proceedings of the 5th World Co...
We inquire the phenomena of clustering of galaxies in an expanding universe from a theoretical point of view on the basis of thermodynamics and correlation functions. The partial differential equation...
The description of gravitational galaxy clustering evolving through quasi-equilibrium thermodynamics is examined on the basis of thermodynamic fluctuations and statistical mechanical ensemble techniqu...
One of the most important methods in analysis of large data sets is clustering. These methods are not only major tools to uncover the underlying structures of a given data set, but also promising tool...

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