PPT-Centroids

2012 Project Lead The Way Inc Principles of Engineering Centroid Principles Objects center of gravity or center of mass Graphically labeled as Centroid Principles Point of applied force caused by acceleration due to gravity. Hui. Li lihui@indiana.edu. Some material adapted from slides by Adam . Kawa. the 3. rd. meeting of WHUG June 21, 2012. What is Pig. Framework for analyzing large un-structured and semi-structured data on top of Hadoop.. Centroid Principles. Object’s center of gravity or center of mass. Graphically labeled as . Centroid Principles. Point of applied force caused by acceleration due to gravity. Object is in state of equilibrium if balanced along its centroid. Clustering (Chap 7). Introduction. Clustering is an important data mining task.. Clustering makes it possible to “almost automatically” summarize large amounts of high-dimensional data.. Clustering (aka segmentation) is applied in many domains: retail, web, image analysis, bioinformatics, psychology, brain science, . of Gravity. 5 - . 2. Contents. Introduction. Center of Gravity of a 2D Body. Centroids and First Moments of Areas and Lines. Centroids of Common Shapes of Areas. Centroids of Common Shapes of Lines. Composite Plates and Areas. Data Analytics. Clustering and Segmentation. What is Cluster Analysis?. Grouping data so that elements in a group will be. Similar (or related) to one another. Different (or unrelated) from elements in other groups. Large-scale Single-pass k-Means . Clustering. Large-scale . k. -Means Clustering. Goals. Cluster very large data sets. Facilitate large nearest neighbor search. Allow very large number of clusters. Achieve good quality. :. . Big . Data . Analytics. KMeans. Clustering on . Hadoop. Fall 2013. Elke A. Rundensteiner. 1. K-Means Algorithm. 2. Iterative algorithm until converges. K-Means Algorithm. Step 1: . Select K points at random (Centers). Battiti. , Mauro . Brunato. .. The LION Way: Machine Learning . plus.  Intelligent Optimization. .. LIONlab. , University of Trento, Italy, . Apr 2015. http://intelligent-optimization.org/LIONbook. /manual/vector/ Node failure. The probability that at least one node failing is: . . f. = 1 – (1-p). n. When . n. =1; then . f. =. p. Suppose . p. =0.0001 but . n. =10000, then: . Clustering (Chap 7). Introduction. Clustering is an important data mining task.. Clustering makes it possible to “almost automatically” summarize large amounts of high-dimensional data.. Clustering (aka segmentation) is applied in many domains: retail, web, image analysis, bioinformatics, psychology, brain science, . Christian Cosgrove. Kelly. Li. Rebecca. Lin. Shree . Nadkarni. Samanvit. . Vijapur. Priscilla. Wong. Yanjun. Yang. Kate Yuan. Daniel Zheng. Drew . University. New . Jersey Governor’s School in the Sciences. Object’s center of gravity or center of mass. Graphically labeled as . Centroid Principles. Point of applied force caused by acceleration due to gravity. Object is in state of equilibrium if balanced along its centroid. 2cortoRtopicsdocumentedcorto2fcor32sherp4gsea5gsea26kmgformat7mra7mraplot9p2r9p2z10plotgsea11plotgsea212r2p13scatter13slice14ssgsea15stouffer16val2col17wstouffer18z2p18Index20cortoCalculatearegulonfro