Cluster analysis algorithms | Bioinformatics algorithms
In bioinformatics, neighbor joining is a bottom-up (agglomerative) clustering method for the creation of phylogenetic trees, created by and Masatoshi Nei in 1987. Usually based on DNA or protein sequence data, the algorithm requires knowledge of the distance between each pair of taxa (e.g., species or sequences) to create the phylogenetic tree. (Wikipedia).
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From playlist Inspiration and Advice
Join my wife and me on the 1st day of our Diwali
Join my wife and me on the 1st day of our Diwali
From playlist India
k-NN 5: resolving ties and missing values
[http://bit.ly/k-NN] For k greater than 1 we can get ties (equal number of positive and negative examples) in the k nearest neighbours. We discuss three different strategies for breaking ties (random, prior, and 1-NN). We also discuss the need to impute (fill-in) any missing values in our
From playlist Nearest Neighbour Methods
In this video, you’ll learn how to join groups on LinkedIn. Visit https://edu.gcfglobal.org/en/linkedin/keeping-up-with-linkedin/1/ for our text-based lesson. We hope you enjoy!
From playlist LinkedIn
You’ve heard about similar triangles, but do you know what technically makes two triangles similar? Informally, we can say that two triangles are similar if their associated angles are congruent. In other words, their angle measures have to be the same. However, the triangles don’t necess
From playlist Popular Questions
👉 Learn how to solve with similar triangles. Two triangles are said to be similar if the corresponding angles are congruent (equal). Note that two triangles are similar does not imply that the length of the sides are equal but the sides are proportional. Knowledge of the length of the side
From playlist Similar Triangles
What is the similarity of triangles for SSS
👉 Learn how to solve with similar triangles. Two triangles are said to be similar if the corresponding angles are congruent (equal). Note that two triangles are similar does not imply that the length of the sides are equal but the sides are proportional. Knowledge of the length of the side
From playlist Similar Triangles
Network Analysis. Lecture 15. Diffusion of innovation and influence maximization.
Diffusion of innovation. Independent cascade model. Linear threshold model. Influence maximization. Submodular functions. Finding most influential nodes in networks. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture15.pdf
From playlist Structural Analysis and Visualization of Networks.
Paul Seymour: Colouring graphs with no odd holes, and other stories
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Combinatorics
Colouring graphs with no odd holes - Paul Seymour
Paul Seymour Princeton University September 22, 2014 The chromatic number k(G)k(G) of a graph GG is always at least the size of its largest clique (denoted by w(G)w(G)), and there are graphs with w(G)=2w(G)=2 and k(G)k(G) arbitrarily large. On the other hand, the perfect graph theorem ass
From playlist Mathematics
Introduction to additive combinatorics lecture 4.5 --- getting all pairs joined by many P3s.
In the previous video we saw that for any dense bipartite graph one can restrict one of the vertex sets to a large subset such that almost any two vertices are joined by many paths of length 2. Here we replace the "almost all" by "all", but now we have a subset of each vertex set and the p
From playlist Introduction to Additive Combinatorics (Cambridge Part III course)
Lecture15. Cascades in networks. Influence maximization
Network Science 2021 @ HSE
From playlist Network Science, 2021
Анализ Социальных Сетей II. Лекция 4. Пороговые модели влияния
Слайды: http://www.leonidzhukov.net/hse/2014/socialnetworks/lectures2/lecture4.pdf Распространение вляния. Пороговые модели принятия решений.Модель Гранноветера. Определение наиболее влиятельных узлов. Threshold models and Influence maximization. Social diffusion. Granovetter's Threshol
From playlist Анализ Социальных Сетей. Курс НИУ ВШЭ
Timothy Gowers: Combinatorics, Szemerédis theorem and the sorting problem
Sir William Timothy Gowers is a British mathematician and a Royal Society Research Professor at the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge. This video is a clip from the Abel Prize Announcement 2012. Gowers gives a brief introduction to t
From playlist Popular presentations
Introduction to SNA. Lecture3. Mathematical Models of Networks
Erdos-Reni random graph model. Bernoulli distribution. Phase transition, gigantic connected component. Diameter and cluster coefficient. Barabasi-Albert model. Preferential attachement. Small world model. Watts-Strogats model. Transition from regular to random Lecture slides: http://www.l
From playlist Introduction to SNA
Stanford Lecture: Donald Knuth - "Trees and chordal graphs" (2012)
Professor Knuth's 18th Annual Christmas Tree Lecture at Stanford December 14, 2012 Chordal graphs—also known as triangulated graphs or perfect-elimination graphs—are perhaps the most important generalizations of trees. Many graph-theoretical problems can be solved much more efficiently on
From playlist Donald Knuth Lectures
Join Our Exclusive Community (extra content)
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From playlist YouTube Memberships Announcements
