PPT-Two-Dimensional Data

Class of 5 students Each student has 3 test scores Store this information in a twodimensional array First dimension which student 0 1 2 3 or 4 Second dimension which test score 0 1 or 2 Declaring a 2D Array. Alimir. . Olivettr. . Artero. , Maria Cristina . Ferreiara. de Oliveira, . Haim. . levkowitz. Information Visualization 2004. Abstract. The idea is inspired by traditional image processing techniques such as grayscale manipulation.. Milos. . Radovanovic. , . Alexandros. . Nanopoulos. , . Mirjana. . Ivanovic. . . ICML 2009. Presented by Feng Chen. Outline. The Emergence of Hubs. Skewness. in Simulated Data. Skewness. in Real Data. Peter Andras. School of Computing and Mathematics. Keele University. p.andras@keele.ac.uk. Overview. High-dimensional functions and low-dimensional manifolds. Manifold mapping. Function approximation over low-dimensional projections. Step 0.) Start by adding 0-dimensional vertices . (0-simplices). Creating a simplicial complex. 1. .) . A. dding . 1. -dimensional edges (1-simplices). Add an edge between data points that are “close”. Applications II. This work was partially supported by  the Joint DMS/NIGMS Initiative to Support Research in the Area of Mathematical Biology (NSF 0800285).. Isabel K. Darcy. Mathematics Department . is an important tool in machine learning/data mining, we must always be aware that it can distort the data in misleading ways.. Above is a two dimensional projection of an intrinsically three dimensional world….. Aayush Mudgal [12008]. Sheallika Singh [12665]. What is Dimensionality Reduction ?. Mapping . of data to lower dimension such . that:. . uninformative variance is . discarded,. . or a subspace where data lives is . Clayton Groom. Covenant Technology Partners. Intro. Clayton Groom. Founding Partner of CTP. cgroom@mailctp.com. Twitter: . cgroom. BI professional for 15 years. MCP. BI, MS Visual Technology Specialist (. Challenges . and Opportunities. Remco. Chang. Tufts University. Visual Analytics = Human Computer. Visual analytics . is . “the . science of analytical reasoning facilitated by visual . interactive . Defined . Contribution . Investments. for Retirement Income. November 15, 2011. Participant Research . S. hows . T. hat . T. here Is a Need for New, Professionally-Managed . I. ncome . S. olutions. 1. on SU(2) Group Manifold . and N=4 Gauged Supergravity. . . Patharadanai Nuchino. . Dr. Parinya Karndumri. June 8, 2016 . Room Anek, Baansuan-Khunta and Golf Resort Hotel, Ubon Ratchathani, Thailand. Persistent Homology. Matthew L. Wright. Institute for Mathematics . and . its Applications. University of Minnesota. in collaboration with Michael . Lesnick. What is persistent homology?. e.g. components, holes, . Statistical diagrams. Statistical diagrams covers: data collection; extracting data from tables, mileage charts and timetables; data presentation using stem and leaf diagrams, line graphs, tally charts, pie charts and frequency tables; the statistical measures of mean, mode, median and range; plotting scatter diagrams; lines of best fit and finding the equation of the line of best fit.. High-dimensional Data Analysis. Adel Javanmard. Stanford University. 1. What is . high. -dimensional data?. Modern data sets are both massive and fine-grained.. 2. # Features (variables) > . # . Observations (Samples).