Cluster analysis

Traveling Salesman Problem (TSP) is one of combinatorial optimization problems. X TSP is NP-hard problem which defined as a set of cities and each city should be visited once with minimum tour length. This paper solved this problem using Firefly Algorithm (FA) and k-means clustering by three steps: cluster the nodes, finding optimal path in each cluster and connect the clusters. The first step is to divide all nodes into sub-problems using k-means clustering, the second step is to use FA to find optimal path in each cluster, finally connect all clusters and find the path between them. The experimental results show that FA with k-means clustering has better results than ant colony algorithm using clustering and FA in most of instances. Keywords— Traveling Salesman Problem; Firefly Algorithm; k-means Clustering; NP-hard Problem I.…

For many counties the significant clusters were small, only a few block groups marked as ‘significant’, which in all honesty was not all that surprising. It was not all that surprising because Washington’s population of people of color is not all that large especially when you get outside of the Seattle-Tacoma metro region (QuickFacts Washington, n.d.). What was both surprising and unsurprising at the same time was that three of the seventeen counties that were ran through a cluster analysis had…

This week I would like to share some information about how oxygen can be used to treat cluster headaches. But first, here is a short summary of why I am familiar with this treatment. In early 2016, I went to a neurologist and finally received a more accurate diagnosis that I suffer from both migraine and cluster headaches. Previously, I was told by numerous doctors that I only suffered from migraines, despite the fact that some of my symptoms tended to be cyclical and did not feel like migraines…

Introduction The focus of this paper is to explain my plans for the future and how I will get there. It is important for me and everybody else to think and plan their future. I want to have a fun job so I will do well and enjoy going to work every day. I don’t want a job that I don’t enjoy because I won’t be good at it. I also would like to get a good grade on this project. Survey Results For this project, we were required to take two surveys. The first survey, known as the Career Cluster…

BLOOD VESSEL SEGMENTATION IN RETINAL FUNDUS IMAGES USING PRE-PROCESSING AND ITERATIVE REFINEMENT Ms.A.Rajapackiam PG Scholar, Department of Computer Science and Engineering, Chandy college of Engineering, Mullakadu,Thoothukudi(T.N)India. rajiamrose91@gmail.com Mr.L.Arokia Jesu Prabhu AP/CSE , Department of Computer Science and Engineering, Chandy college of Engineering, Mullakadu,Thoothukudi(T.N)India. jlplazer@gmail.com ABSTRACT Automatic diagnosis of several diseases such as Diabetic…

strengths, including: not being personable or showing any perspective from MCs, not having a fifth cluster for styles that don’t fit into one of the four, “These decisions are necessarily based on judgment, and there are some variables that one might argue should fall into another category” (Bernhard and Sulkin, 11), stating that legislative styles are predictable and relatively stable across time, and lastly, it seemed to be very poorly worded and somewhat opinionated instead of factual in…

Accuracy analysis Before providing security suggestions and performing risk management, our team need to gather enough campaign statistical data. In order to prove the accuracy of statistical analysis. We will analyze the accuracy of the statistic result in this chapter. I - Completing Test and Sampling Completing Test For a certain test target, if we can test every member of that target. It is called complete testing. For the complete test, the test accuracy is 100% but cannot be referred to…

1) Linked Cluster Algorithm (LCA) [5], [6], [7]: LCA, was one of the initial clustering algorithms evolved. It was primarily developed for wired sensors, but later applied in wireless sensor networks. In LCA, a unique ID number is allotted to each node and has two means of becoming a cluster head. The first way is that if the node has the greatest ID number in the set including all neighbor nodes and the node itself. The second way is to assume that none of its neighbors are cluster heads,…

Overall, the questions are good and I would use all of them to analyze the Total School Cluster Grouping Model because they all identify important aspects of analysis with the assumptions underlying the model, the fit of the model for gifted with research to validate it while making sure that teachers are trained. However, a few things that are missing include:  What is the role that the teacher plays in the model? (It talks about the training but not their actual role)  How is a student who…

were sexually active, using a form of birth control, identification of an STD in the past 6 months, had two or more sex partners, drug use, felonies, and etc. for measuring (Torrone et al., 2015). The authors used random sampling at consumption for 10% of the females in facility (Torrone et al., 2015). Many females had consumption various times throughout the study therefore sampling was based on the number of consumption and not the number of females(Torrone et al., 2015). Cluster sampling…