نتایج جستجو برای: cluster reduction
تعداد نتایج: 685453 فیلتر نتایج به سال:
The midpoint potential of the [2Fe-2S] cluster of the Rieske iron-sulfur protein (Em7 = +280 mV) is the primary determinant of the rate of electron transfer from ubiquinol to cytochrome c catalyzed by the cytochrome bc1 complex. As the midpoint potential of the Rieske cluster is lowered by altering the electronic environment surrounding the cluster, the ubiquinol-cytochrome c reductase activity...
Network of workstation (NOW) is a cost-e ective alternative to massively parallel supercomputers. As commercially available o -the-shelf processors become cheaper and faster, it is now possible to build a cluster that provides high computing power within a limited budget. However, a cluster may consist of di erent types of processors and this heterogeneity complicates the design of e cient coll...
For several major applications of data analysis, objects are often not represented as feature vectors in a vector space, but rather by a matrix gathering pairwise proximities. Such pairwise data often violates metricity and, therefore, cannot be naturally embedded in a vector space. Concerning the problem of unsupervised structure detection or clustering, in this paper, a new embedding method f...
these are notes from introductory survey lectures given at the institute for studies in theoretical physics and mathematics (ipm), teheran, in 2008 and 2010. we present the definition and the fundamental properties of fomin-zelevinsky’s cluster algebras. then, we introduce quiver representations and show how they can be used to construct cluster variables, which are the canonical generators of ...
This paper aims to give an overview of methods to find groups in large data sets, such as household expenditure survey data. These methods are grouped in three: cluster analysis, dimension reduction and basic explorative methods. The emphasis is put on a critical analysis and potential drawbacks, especially of inputs that have to be provided by the researcher. These may impose some structure no...
In many applications, denoising is necessary since point-sampled models obtained by laser scanners with insufficient precision. An algorithm for point-sampled surface is presented, which combines fuzzy c-means clustering with mean shift filtering algorithm. By using fuzzy c-means clustering, the largescale noise is deleted and a part of small-scale noise also is smooth. The cluster centers are ...
These are notes from introductory survey lectures given at the Institute for Studies in Theoretical Physics and Mathematics (IPM), Teheran, in 2008 and 2010. We present the definition and the fundamental properties of Fomin-Zelevinsky’s cluster algebras. Then, we introduce quiver representations and show how they can be used to construct cluster variables, which are the canonical generator...
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