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Graph Theory
Applied Multidimensional Scaling and Unfolding by Ingwer Borg Patrick J.F. Groenen & Patrick Mair
epub |eng | | Author:Ingwer Borg, Patrick J.F. Groenen & Patrick Mair

Fig. 5.3MDS with drift vectors for Morse code confusion data Let us look at a real data example. Rothkopf (1957) studied to what extent 598 test persons confused different acoustic ...
( Category: Testing March 9,2020 )
Cognitive Biases in Visualizations by Geoffrey Ellis
epub, pdf |eng | | Author:Geoffrey Ellis

The Planning Fallacy: In contrast to examining biases that manifest through visualization use, Dragicevic et al. [11] proposed using data visualizations to mitigate the planning fallacy, a common bias which ...
( Category: Graph Theory March 9,2020 )
Introduction to Computational Social Science by Claudio Cioffi-Revilla
epub |eng | | Author:Claudio Cioffi-Revilla

(5.12) Alternatively, if S is defined in terms of graphic models—such as when using a set of associated UML class, sequence, and state diagrams of S—then the set of features ...
( Category: Graph Theory March 7,2020 )
Guide to Programming for the Digital Humanities by Brian Kokensparger
epub |eng | | Author:Brian Kokensparger

6.7 Expected Output from Student Work Figure 6.4 shows example output, but with different data. It provides a range of student outputs that might be expected in a given semester. ...
( Category: Graph Theory March 5,2020 )
R Cookbook by JD Long
epub |eng | 2019-07-15 | Author:JD Long

data(Cars93, package = "MASS") ggplot(Cars93, aes(MPG.city, Horsepower)) + geom_point() + facet_wrap( ~ Origin) Figure 10-26. Cars93 data with facet The resulting plot reveals a few insights. If we really crave ...
( Category: Software Development July 1,2019 )
Simulation for Applied Graph Theory Using Visual C++ by Shaharuddin Salleh & Zuraida Abal Abas
epub |eng | 2016-12-10 | Author:Shaharuddin Salleh & Zuraida Abal Abas

6.1.1 Greedy Algorithm for Finding the Maximum Clique We discuss a greedy algorithm for finding the maximum clique. The graph G(V, E) has nodes V = {v1, v2, v3…vn}. The ...
( Category: Combinatorics December 11,2016 )
Introduction to Graph Theory by Richard J. Trudeau
epub |eng | | Author:Richard J. Trudeau

Proof of Euler’s Formula Theorem 8. If G is polygonal then v + f − e = 2. Proof. The proof is by induction on f. Let S be the ...
( Category: Graph Theory June 27,2016 )
Social Network-Based Recommender Systems by Schall Daniel
epub, azw3 |eng | 2015-09-22 | Author:Schall, Daniel

(4.2) (4.3) This adjusted model is a natural way of designing a random-walk based algorithm following the HITS model. The randomized HITS approach is, like PageRank, stable to small perturbations ...
( Category: Graph Theory October 31,2015 )
A Textbook of Graph Theory by R. Balakrishnan & K. Ranganathan
epub |eng | | Author:R. Balakrishnan & K. Ranganathan

124. Koolen, J.H., Moulton, V.: Maximal energy graphs. Adv. Appl. Math. 26, 47–52 (2001)MathSciNet 125. Kouider, M., Mahéo, M.: Some bounds for the b-chromatic number of a graph. Discrete Math. ...
( Category: Graph Theory September 8,2015 )
Pearls in Graph Theory by Nora Hartsfield & Gerhard Ringel
epub, pdf |eng | 1994-06-22 | Author:Nora Hartsfield & Gerhard Ringel

Notice that if we add the same number, for example 100, to every label in Figure 6.2.4, Kirchhoff’s Current Law still holds at every vertex. If we try this with ...
( Category: Graph Theory June 23,2014 )
Classification and Regression Trees by Breiman Leo & Friedman Jerome & Stone Charles J. & Olshen R.A
epub |eng | 1983-12-31 | Author:Breiman, Leo & Friedman, Jerome & Stone, Charles J. & Olshen, R.A. [Breiman, Leo]

APPENDIX The Linear Combination Search Algorithm Suppose that at a given node t, a goodness of split criterion Φ(s, t) is defined. Hereafter, when we say “best split,” we mean ...
( Category: Probability & Statistics June 5,2014 )

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