CLUSTER ANALYSIS: ALGORITHMS AND ANALYSIS USING SAS BY: AHMED ALDAHHAN SUPERVISED BY: LECTURER JING XU BIRKBECK UNIVERSITY OF LONDON 2013/2014 ABSTRACT The scope of this paper is to provide an introduction to cluster analysis; by giving a general background for cluster analysis; and explaining the concept of cluster analysis and how the clustering algorithms work. A basic idea and the use of each clustering method will be described with its graphical features. Different clustering
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SPECIAL BUILDINGS Struct. Design Tall Spec. Build. 18‚ 279–290 (2009) Published online 25 September 2007 in Wiley Interscience (www.interscience.wiley.com). DOI: 10.1002/tal.409 AN APPROXIMATE METHOD FOR STATIC AND DYNAMIC ANALYSES OF SYMMETRIC WALL-FRAME BUILDINGS KANAT BURAK BOZDOGAN* SUMMARY In this study an approximate method based on the continuum approach and transfer matrix method for static and dynamic analyses of symmetric wall-frame buildings is presented. The whole structure is idealized
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Web Structure Mining: A Comparative Analysis of HITS Algorithm Mrs. Charmy Patel#1‚ Mrs. Kinjan Chauhan#2 and Mrs. Priti Patel#3 #Shree Ramkrishna Institute of Computer Education and Applied Sciences‚ M.T.B College Campus‚ Athwalines‚ Surat‚ Gujarat‚ India. 1charmyspatel@gmail.com 2Kinjanchauhan99@gmail.com 3priti_patel22@hotmail.com Abstract: Today the amount of data available online is increasing widely. the World Wide Web has becoming one of the most valuable resources for information
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DECISION-DIRECTED BLIND EQUALIZATION ALGORITHM Seongmin Kim‚ Wangrok Oh and Whanwoo Kim Department of Electronics Engineering Chungnam National University‚ Daejeon‚ Republic of Korea wwkim@cnu.ac.kr ABSTRACT s ( n) u ( n) ˆ( s n) y ( n) The decision-directed blind equalization algorithm is often used due to its simplicity and good convergence property when the eye pattern is open. However‚ in a channel where the eye pattern is closed‚ the decision-directed algorithm is not guaranteed to converge
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Enhanced Data Encryption Algorithm for Next Generation Networks ABSTRACT In an age where data transmission over the network has become a vital aspect of communication and information sharing it is very essential to ensure robust data security. Keeping the above fact in mind‚ we aim to enhance the existing security standards by designing a more efficient Encryption Algorithm. In this paper we propose the idea of using a combination of AES-DES and
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Temporal Cache Replacement Algorithm for Database Tuning Anju James‚ Nimishamol C.T. and Sheena V. M. Don Bosco College Kannur‚ India. March 24‚ 2013 Abstract Query optimization is an important area in database management system‚ especially when the database is large. Researchers have proposed several query optimization techniques for large databases. Automated physical design tuning for database systems is one of them. Most of the tools for automated tuning depend on repeated optimizing
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CheckPoint: Algorithm Verification • Answer the following questions about the information in Appendix J: o What will be printed if the input is 0? “You fail” o What will be printed if the input is 100? “Your grade is 100” and “You did great” o What will be printed if the input is 51? “Your grade is 51” and “You did well” o What will be printed if the user enters “Wingding”? “How did you do?” – because Wingding is not a value between 0 and 100. o Is this design robust? If so‚ explain
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Fast and Robust Fixed-Point Algorithms for Independent Component Analysis Aapo Hyvärinen Helsinki University of Technology Laboratory of Computer and Information Science P.O. Box 5400‚ FIN-02015 HUT‚ Finland Email: aapo.hyvarinen@@hut.fi IEEE Trans. on Neural Networks‚ 10(3):626-634‚ 1999. Abstract Independent component analysis (ICA) is a statistical method for transforming an observed multidimensional random vector into components that are statistically as independent from each other as possible
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titled “CREDIT CARD FRAUD DETECTION” detects the fraudulent card during transactions and alerts the customer regarding the fraud. This project also aims in minimizing the number of false alerts. The concept of genetic algorithm is a novel one in this application domain. The algorithm begins with multi-population of randomly generated chromosomes. These chromosomes undergo the operations of selection‚ crossover and mutation. Crossover combines the information from two parent chromosomes to produce
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RECENT DEVELOPMENTS IN METAHEURISTIC ALGORITHMS: A Review M. P. Saka* * E. Doğan‡ Corresponding author‚ Prof. Dr.‚ University of Bahrain‚ Department of Civil Engineering‚ Isa Town‚ Bahrain ‡ Assistant Professor‚ Celal Bayar University‚ Civil Engineering Department‚ Manisa‚ Turkey Stream: ECT2012RL Reference: ECT2012RL/2011/00005 1 Abstract Recent developments in optimization techniques that deals in finding the solution of combinatorial optimization problems has provided engineering
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