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Clustering method based on artifical algae algorgthm
No full textOptimizasyon, belirli şartlar altında bir problem için elde edilen en iyi çözüm olarak tanımlanır. Optimizasyon algoritmaları, mevcut bilgileri mümkün olduğu kadar en iyi şekilde kullanma becerisine sahiptir. Günümüze kadar araştırmacılar tarafından birçok optimizasyon algoritması geliştirilmiştir, geliştirilen bu optimizasyon algoritmaları genelde tabiatta bulunan varlıkların davranışlarına göre tasarlanmıştır. Optimizasyon algoritmaları çok başarılı bir şekilde mühendislik, tıp ve bankacılık gibi birçok sektörde kullanılmıştır. Bu kullanım alanlarına ek olarak veri madenciliği sınıflandırma ve kümeleme gibi algoritmaların parametre güncellenmesinde de kullanılmıştır. Kümeleme işlemi, birçok alanda sıkça kullanılmaktadır. Kümeleme işleminde en önemli nokta kümelenen verilerin en iyi küme merkezlerinin belirlenmesidir. Bu tezde, kümeleme işlemi Yapay Alg optimizasyon Algoritması (YAA) ile yapılmıştır. Önerilen YAA tabanlı kümeleme algoritması UCI veri kümeleri üzerinde uygulanmıştır. Önerilen YAA tabanlı kümeleme algoritmasının performansını değerlendirmek için her veri seti için farklı iterasyon sayılarda toplam karesel uzaklık değerleri hesaplanmıştır. Elde edilen sonuçlar k-ortalama, Diferansiyel Evrim Algoritması (DE), Genetik algoritması (GA), Yapay arı kolonisi (YAK), Parçacık sürü optimizasyon (PSO), Balina optimizasyon Algoritması (BOA) kümeleme algoritmaları ile karşılaştırılmıştır. Deneysel sonuçlarına göre, önerilen YAA tabanlı kümeleme algoritması iris ve şarap veri setlerinde diğer kümeleme algoritmalarından daha iyi sonuç elde etmiş, diğer veri setlerinde ise iyi sonuçlara yakın sonuçlar elde etmiştir.Optimization is defined as the best solution for a problem under certain conditions. Optimization algorithms have the ability to make the best use of available information. Until today, many optimization algorithms have been developed by researchers. These optimization algorithms are generally designed according to the behaviors of natural beings. Optimization algorithms have been used very successfully in many areas such as engineering, medicine and banking, In addition to these fields of application, it has also been used for parameter updating of algorithms such as data mining classification and clustering. Clustering is frequently used in many areas, but the most important point in clustering is to determine the best cluster centers of clustered data. In this thesis, clustering process is realized by using Artificial Algae Algorithm (AAA) optimization algorithm. The proposed AAA-based clustering algorithm is implemented on UCI datasets. In order to evaluate the performance of the proposed YAA based clustering algorithm, total square distance values in different iteration numbers were calculated for each data set. The obtained results have been compared with k-means, Differential Evolution Algorithm (DE), Genetic algorithm (GA), Artificial bee colony (ABC), Particle swarm optimization (PSO), Whale optimization Algorithm (WOA) clustering algorithms. According to the experimental results, the proposed AAA-based clustering algorithm has achieved better results in iris and şarap data sets than other clustering algorithms, while it has obtained close to good results in other data sets
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Different numerical approaches for the solution of differential equations
No full textBu tezde, Diferensiyel Dönüşüm Yöntemi, Adomian Ayrışım Yöntemi ve Taylor Sıralama Yönteminin tanımları ve uygulamaları verildi. Bu üç metod faklı tipde diferansiyel denklemlerin analitik ve yaklaşık çözümlerini elde etmek için alternatif metodlar olarak kullanılmaktadır. Sembolik hesaplama sistemi maple ile, yüksek mertebeden diferansiyel denklemler ve integro diferansiyel denklemlerin analitik çözümleri ile yaklaşık çözümleri bu metodlar ile çözüldü ve kıyaslaması yapıldı.In this thesis, the definitions and the applications of the Differential Transfom Method, Adomian Decomposition Method and Taylor Collocation Method are given.The three methods can be used as alternative methods for obtaining analytic and approximate solutions for different types of differential equations.With the help of the symbolic computation system Maple, Higher order differential equations and integro differential equations are solved in the view of these methods and compared with the analytic solutions
Improved reduced differential transform method for solution of linear and nonlinear partial differential equations
No full textBu tez çalışmasında, uygulamalı birçok bilim dalında karşımıza çıkan çözümü olmayan veya oldukça zor ve zaman alıcı olan, lineer ve lineer olmayan kısmi türevli diferensiyel denklemlerin yaklaşık çözümlerini bulmak için yeni bir yöntem geliştirilmiştir. Bu yöntem literatürde bulunan indirgenmiş diferensiyel dönüşüm yöntemine sabit grid aralık algoritması eklenerek oluşturulmuştur.In this study, a new method was developed in order to find approximate solutions of partial differential equations that are quite difficult, time consuming or do not have a solution and we face in many applied scientific fields. This method was created by adding fixed grid size algorithm to the reduce differential transform method existing in literature
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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