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CLARA是基于k中心点的一种划分方法的实现,区别于别的划分方法,Clara是用于大规模分类运用方法的简称,可以实现对大规模数据的分类-CLARA(abbreviated from clustering large applications), is based on the k-medoid appraoch, which can be useful in clustering large data sets.
Update : 2025-02-19 Size : 13kb Publisher : 林文

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Do mesmo modo, o desenvolvimento contínuo de distintas formas de atuaç ã o possibilita uma melhor visã o global das novas proposiç õ es. Percebemos, cada vez mais, que a necessidade de renovaç ã o processual apresenta tendências no sentido de aprovar a manutenç ã o dos modos de operaç ã o convencionais. Nunca é demais lembrar o peso e o significado destes problemas, uma vez que a determinaç ã o clara de objetivos oferece uma interessante oportunidade para verificaç ã o do sistema de participaç ã o geral. A prática cotidiana prova que o comprometimento entre as equipes prepara-nos para enfrentar situaç õ es atípicas decorrentes das condiç õ es inegavelmente apropriadas. Acima de tudo, é fundamental ressaltar que a consulta aos diversos militantes causa impacto indireto na reavaliaç ã o das direç õ es preferenciais no sentido do progresso.
Update : 2025-02-19 Size : 1kb Publisher : xeletrons

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Haipeng Jin and Kameswari Chebrolu, UCSD Aditya Pande and Xiaohua Chen, Stanford University Javad Razavilar, Magis Networks Inc., San Diego Barani Subbiah, 3Com Corp., Santa Clara
Update : 2025-02-19 Size : 85kb Publisher : Manwinder Singh

This paper presents a technique which is based on pattern recognition techniques, in order to estimate Mobile Terminal (MT) velocity. The proposed technique applies on received signal strength (RSS) measurements and more precisely on information extracted from Iub air interface, in wideband code-division multiple access (WCDMA) systems for transmission control purposes. Pattern recognition is performed by Hidden Markov Model (HMM), which is trained with downlink signal strength measurements for specific areas, employing Clustering LARge Applications (CLARA) like a clustering method. Accurate results from a single probe vehicle show the potential of the method, when applied to large scale of MTs.
Update : 2025-02-19 Size : 343kb Publisher : anna

clrs solution Instructor’ s Manual by Thomas H. Cormen Clara Lee Erica Lin to Accompany Introduction to Algorithms Second Edition by Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein
Update : 2025-02-19 Size : 1.47mb Publisher : rey

Please contact Sun Microsystems, Inc., 4150 Network Circle, Santa Clara, CA 95054 USA or visit www.sun.com if you need additional information or have any questions.
Update : 2025-02-19 Size : 2kb Publisher : yaopbcg

Esse livro se destina àquelas pessoas que gostam de informática e de aprender cada vez mais. Nã o importa se ao usuário comum ou o técnico, todos se identificarã o muito com a obra. Os assuntos serã o apresentados de maneira objetiva, em uma linguagem clara e direta. Explica como e porque a seguranç a na informática hoje é um problema tã o grande.
Update : 2025-02-19 Size : 1.17mb Publisher : tiago cipriano

图像处理 并行处理 matlab Since images can be represented by 2D or 3D matrices and the MATLAB processing engine relies on matrix representation of all entities, MATLAB is particularly suitable for implemen‐ tation and testing of image processing workflows. The Image Processing Toolbox ™ (IPT) includes all the necessary tools for general-purpose image processing incorporating more than 300 functions which have been optimised to offer good accuracy and high speed of processing. Moreover, the built-in Parallel Computing Toolbox ™ (PCT) has recently been expanded and now supports graphics processing unit (GPU) acceleration for some functions of the IPT. However, for many image processing applications we still need to write our own code, either in MATLAB or, in the case of GPU-accelerated applications requiring specific control over GPU resources, in CUDA (Nvidia Corporation, Santa Clara, CA, USA).-the first part is dedicated to some essential tools of the IPT that can be used in image analysis and assessment as well as in extraction of useful information for further processing and assessment. These include retrieving information about digital images, image adjustment and processing as well as feature extraction and video handling. The second part is dedicated to GPU acceleration of image processing techniques either by using the built-in PCT functions or through writing our own functions. Each section is accompanied by MAT‐ LAB example code.
Update : 2025-02-19 Size : 615kb Publisher : 阿新

Calypso/Iota/Clara System Application Notes
Update : 2025-02-19 Size : 1.53mb Publisher : tvman_od

k-medoids with matlab is very strong
Update : 2025-02-19 Size : 714kb Publisher : akbari1368

A biblia sql server 2012 trás uma abordagem profunda, com linguagem clara e de fácil compreensão.
Update : 2018-09-12 Size : 21.54mb Publisher : ulisseshen
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