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Graph Visualization Library in JavaScript (RPM)

Graph Visualization Library in JavaScriptI ' ve just put together what's be looking for:http://www.graphdracula.netIt ' s JavaScript with directed graph layouting, SVG and can even drag the nodes around. Still needs some tweaking, but is totally usable. You create nodes and edges easily with JavaScript code like this:var g = new Graph();g.addEdge("strawberry", "c

Open source software: NoSQL database-Graph database neo4j

Reproduced from the original address: http://www.cnblogs.com/loveis715/p/5277051.htmlI recently used a graphical database to support a start-up project. In the process of using this kind of graphics database is actually very interesting. So here's a brief introduction to you.The NoSQL database is believed to have been heard. They can often be used to deal with a series of problems that traditional relational databases are difficult to solve. Typically, these NoSQL databases are divided into four

Graph database query based on multiple conversion Semantics

1. Summary Because of the complex pattern and different information descriptions of graph databases, it is extremely difficult for non-professional users to query complex graph databases. A Good Graph query engine should support conversion of synonyms, acronyms, abbreviations, and ontology, and should be able to sort search results well. Based on this problem, th

Algorithm-direction graph and accessibility

Figure is connected by vertices and edges, if the edge is no direction is the previous article in the non-directed graph, about the non-directed graph can refer to my previous article, if the edge is a direction, it is called a directed graph. From the vertex a→b, we can understand that a to B can be reached, the directed gra

Study and organize the Bipartite Graph

Study and organize the Bipartite Graph I learned about the bipartite graph today and summarized it as follows: There are many problems with the bipartite graph, but the final result is to find the maximum number of matching. Maximum matching of bipartite graphs and common graph creation methods Point 1: Minimum vertex

Image Segmentation (ii) Graph cut (picture cut)

[Email protected]Http://blog.csdn.net/zouxy09The previous article gives an overview of the main segmentation methods. Let's take a study of some of the more interesting algorithms. The following is mainly graph cut, the next blog post we will learn the next grab Cut, both are based on the graph theory of the segmentation method. In addition OpenCV realized grab Cut, the specific source code interpretation s

The theoretical basis of the PHP algorithm "graph"

Reprinted from: http://www.cnblogs.com/skywang12345/p/3691463.htmlBasic concepts of Ⅰ graphs1. Definition of diagramDefinition: Graph (graph) is composed of some points (vertex) and the connection (edge) between these points, where the point is usually the "vertex (vertex)", and the connection between the point and point becomes "Edge or arc" (Edege). It is usually written as g= (V,e).2. Types of graphsDepe

Data structure-Graph traversal __ Data structure

Traversal of graphs Graph traversal (traversing graph): from one vertex of the graph, visit the remaining vertices in the diagram, and each vertex is only accessed once.The traversal algorithm of graphs is the basis of operation of various graphs. However, the traversal of the diagram has the following characteristics:Complexity: Any vertex of the

Best match for binary graph (KM algorithm) __ algorithm

Looking for a standard to study a bit, modified into their own style, paste it up. Reference: KM algorithm by giving each vertex a label (called the top mark) to the problem of finding the maximum right matching to the problem of complete matching. The top mark of the Vertex XI is a[i], the top mark of the vertex Yi is b [i], and the Benquan between the Vertex XI and the YJ is w[i,j]. At any point in the algorithm execution, A[i]+b[j]>=w[i,j] is always true for either edge (I,J). Km the correct

JavaScript data structure and algorithm diagram and graph algorithm, javascript Data Structure

JavaScript data structure and algorithm diagram and graph algorithm, javascript Data Structure Graph Definition A Graph is a set of vertices that have a finite number of non-empty sets and edges between vertices. It is usually expressed as G (V, E), where G represents a Graph, V is the set of vertices in

Facebook's Graph Search makes Facebook a menace

Facebook's features took another big step yesterday and published Facebook graph, a feature that is stunning after open Graph, and what is Facebook Graph search (social graph searching)? What impact does SEO have to cause? Let's take a look at what the Facebook Graph search

FoxPro for Graph Object Full contact (1)

Objective Many friends may have the understanding that Visual FoxPro has limited support for Graph objects-it's hard to use it to make rich, beautiful icons; there are some problems that seem insurmountable: print charts--visual FoxPro does not provide a way to print a form, graph Does not provide a way to print or Save as a picture ... I have this idea, but with the gradual establishment of "object-orien

Graph operations and L-Adjacent matrix Storage

/* 1. A graph is a data structure composed of the vertex set and the relationship set between the vertex. Graph definition: g = (V, E) 2. vertices and edges: nodes in a graph are generally called vertices, and the links between vertices are called 3. Full graph: In an undirected

Graph theory Knowledge Finishing (2) topological sequencing, shortest path, minimum spanning tree

=====================================found that the previous picture of the study is very bad, nothing, now began to organize the graph theory of knowledgeThe author is a Konjac konjac, Orz, you gods.===================================== Definition: The topological ordering of a directed acyclic graph (Directed acyclic graph, or DAG), in which all vertic

Graph algorithm--realization and application of Shortest path algorithm

Shortest path In solving the problem of network routing, it is very important to find the shortest path or the least weighted path of one vertex to another in the graph. It is formally stated that given a weighted graph g= (v,e), the shortest path to vertex T in the vertex s to V is the least expensive path to connect s to T in the set S in the E-side. When S is found, we solve the single-pair vertex shor

Common graph creation methods for bipartite graphs

Bipartite graphs are an important part of graph theory and are widely used in real life. For example, the problem of matching must be solved by a bipartite graph. However, the application of the bipartite graph is not only used for these intuitive matching problems, but also has many practical problems that can be solved by the nature of the bipartite

Probabilistic graph Model: Markov random Airport (MRF) _deep

Before trying to learn Coursera on Markov with the airport courses, found that do not understand, the reason is that the guy came up with a brief introduction of Markov with the airport is what it began to graphcut. But what exactly is Markov with the airport. Why Markov can be defined and deduced in the same way as the airport. None of this was clear, so he listened to a muddle. This system has learned the probability diagram, has the clearer understanding to this question, here briefly discuss

Graph-Spanning tree and minimum spanning tree

Tree (free tree), unordered tree, and root treeFree Treeis a non-loop connected graph (no root is determined) (one of the vertices in the free tree is chosen as the root, then a normal tree).Starting at the root, for each vertex (usually called a node in the tree), the child is left-to-right in order, it becomes aordered Tree。In the application of graphs, we often need to find a sub-graph of a given

Undirected graph-depth-first and breadth-first algorithms are extremely applied.

Undirected graph-depth-first and breadth-first algorithms are extremely applied. First, we will introduce the second part of the Algorithms website.AlgorithmsThis book provides online courses. In addition, this course on algorithms shown on Coursera is also very good. Several Representation Methods of an image: This method (Data Structure) is used to represent the graph. This includes the following two req

Data structure graph Part3-1 Traversal

DFS Using system; using system. collections. generic; using system. LINQ; using system. text; namespace LH. graphconsole {class program {Private Static bool [] visited; static void main (string [] ARGs) {dfstranverse ();} Private Static void dfstranverse () {int vertexnumber = 9; int edgenumber = 15; graph = New Graph (vertexnumber, edgenumber); graph. vertexs [0

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