搜索结果: 61-75 共查到“理学 clustering”相关记录77条 . 查询时间(0.109 秒)
Disk formation in a hierarchical clustering model
Disk formation hierarchical clustering model
2009/6/5
Disk formation in a hierarchical clustering model。
Clustering of heterogeneous precipitation fields for the assessment and possible improvement of lumped neural network models for streamflow forecasts
rainfall-runoff Clustering
2009/5/13
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...
Exploratory data analysis and clustering of multivariate spatial hydrogeological data by means of GEO3DSOM, a variant of Kohonen's Self-Organizing Map
self-organizing map Exploratory data analysis
2009/5/8
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...
Gravitational Clustering of Galaxies in an Expanding Universe
Gravitational clustering thermodynamics correlation
2009/5/7
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...
Post-seismic reloading and temporal clustering on a single fault
Seismic cycle Statistical seismology Rheology: crust and lithosphere
2014/4/9
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...
Clustering and Synchronization in an Array of Repulsively
Coupled Phase Oscillators
phase oscillators clustering synchronization
2007/8/15
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...
Non-Gaussian and Clustering Behavior in One-Dimensional
Polydisperse Granular Gas System
inelasticity restitution coefficient e inhomogeneity fractal dimension D
polydisperse granular gases
2007/8/15
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...
2003Vol.39No.5pp.631-634DOI:
Genomic Signal Enhancement by Clustering
ZHENG Wei-Mou
Institute of Theoretical Physics, Academia Sinica, Beijing 100080, China
Beijing Geno...
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 ...
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...
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...
Gravitational Clustering of Galaxies in an Expanding Universe
Gravitational clustering—thermodynamics—correlation function structure of universe
2010/9/16
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 Fluctuation theory and Gravitational Galaxy Clustering
Cosmology gravitation galaxies Clustering method Analytical
2010/4/9
The description of gravitational galaxy clustering evolving through quasi-equilibrium thermodynamics is examined on the basis of thermodynamic fluctuations and statistical mechanical ensemble techniqu...
Maximum Entropy-Based Fuzzy Clustering by Using L1-norm Space
Fuzzy c-means Maximum Entropy Structure Strength Number of Clusters L1-norm Space
2010/2/26
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...