搜索结果: 31-45 共查到“理学 Clustering”相关记录77条 . 查询时间(0.082 秒)
Clustering with Prototype Extraction for Census Data Analysis
Prototype Extraction Clustering Census Data Analysis
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2011/9/15
Not long ago primary census data became available to publicity. It opened qualitatively new perspectives not only for researchers in demography and sociology, but also for those people, who somehow fa...
An invariant in shock clustering and Burgers turbulence
Shock clustering stochastic coalescence kinetic theory Burgers turbulence integrable systems Loitsiansky invariant
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2011/7/6
1-D scalar conservation laws with convex flux and Markov initial data
are now known to yield a completely integrable Hamiltonian system. In
this article, we rederive the analogue of Loitsiansky’s in...
An invariant in shock clustering and Burgers turbulence
Shock clustering stochastic coalescence kinetic theory integrable systems Loitsiansky invariant
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2011/7/28
Abstract: 1-D scalar conservation laws with convex flux and Markov initial data are now known to yield a completely integrable Hamiltonian system. In this article, we rederive the analogue of Loitsian...
An invariant in shock clustering and Burgers turbulence
Shock clustering, stochastic coalescence, kinetic theory, Burgers turbulence, integrable systems, Loitsiansky invariant
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2011/9/14
1-D scalar conservation laws with convex flux and Markov initial data are now known to yield a completely integrable Hamiltonian system. In this article, we rederive the analogue of Loitsiansky’s inva...
Non-Gaussian gravitational clustering field statistics
large-scale structure of Universe – galaxies clusters
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2011/3/2
In this work we investigate the multivariate statistical description of the matter distribution
in the nonlinear regime.
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Inverse Power Method for Nonlinear Eigenproblems Applications 1-Spectral Clustering Sparse PCA
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2011/3/2
Many problems in machine learning and statistics can be formulated as (generalized)eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors amounts to finding crit...
Including transcription factor information in the superparamagnetic clustering of microarray data
Including transcription factor information superparamagnetic clustering
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2011/1/5
In this work, we modify the superparamagnetic clustering algorithm (SPC) by adding an extra weight to the interaction formula that considers which genes are regulated by the same transcription factor....
Non-Gaussian gravitational clustering field statistics
Non-Gaussian gravitational clustering field statistics
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2011/1/4
In this work we investigate the multivariate statistical description of the matter distribution in the nonlinear regime. We introduce the multivariate Edgeworth expansion of the lognormal distribution...
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Inverse Power Method Nonlinear Eigenproblems
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2011/1/4
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors amounts to finding cri...
The clustering of massive galaxies at z~0.5 from the first semester of BOSS data
massive galaxies the first semester of BOSS data
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2011/1/10
We calculate the real- and redshift-space clustering of massive galaxies at z~0.5 using the first semester of data by the Baryon Oscillation Spectroscopic Survey (BOSS). We study the correlation funct...
The Spatial Clustering of ROSAT All-Sky Survey AGNs II. Halo Occupation Distribution Modeling of the Cross Correlation Function
The Spatial Clustering ROSAT All-Sky Survey AGNs II
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2011/1/11
This is the second paper of a series that reports on our investigation of the clustering properties of AGNs in the ROSAT All-Sky Survey (RASS) through cross-correlation functions (CCFs) with Sloan Dig...
Modelling the dusty universe II: The clustering of submillimetre-selected galaxies
galaxies:high-redshift – galaxies-evolution – cosmology large scale struc-ture – submillimetre – methods N-body simulations
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2010/11/12
We combine the galform semi-analytical model of galaxy formation, which predicts the star formation and merger histories of galaxies, the grasil spectro-photometric code, which calculates the spectral...
Galaxy clustering and projected density profiles as traced by satellites in photometric surveys: Methodology and luminosity dependence
Galaxy clustering projected density profiles photometric surveys
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2010/11/12
We develop a new method which measures the projected density distribution wp(rp)n of photometric galaxies surrounding a set of spectroscopically-identified galaxies, and simultaneously the projected c...
Constraining halo occupation properties of X-ray AGNs using clustering of Chandra sources in the Bootes survey region
Cosmology and Extragalactic Astrophysics (astro-ph.CO)
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2010/12/27
We present the most precise measurement to date of the spatial clustering of X-ray selected AGNs using a sample derived from the Chandra X-ray Observatory survey in the Bootes field. The real-space tw...
Understanding the faint red galaxy population using large-scale clustering measurements from SDSS DR7
Cosmology and Extragalactic Astrophysics (astro-ph.CO)
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2010/12/27
We use data from the SDSS to investigate the evolution of the large-scale galaxy bias as a function of luminosity for red galaxies. We carefully consider correlation functions of galaxies selected fro...