PPT-High Performance Dimension Reduction and Visualization for

Author : mitsue-stanley | Published Date : 2015-09-21

Highdimensional Data Analysis Jong Youl Choi SeungHee Bae Judy Qiu and Geoffrey Fox School of Informatics and Computing Pervasive Technology Institute Indiana

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "High Performance Dimension Reduction and..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

High Performance Dimension Reduction and Visualization for: Transcript

Highdimensional Data Analysis Jong Youl Choi SeungHee Bae Judy Qiu and Geoffrey Fox School of Informatics and Computing Pervasive Technology Institute Indiana University S A. Ward and Elke A Rundensteiner Computer Science Department Worcester Polytechnic Institute Worcester MA 01609 debbiemattrundenst cswpiedu BSTRACT Clutter denotes a disordered collection of graphical entities in in formation visualization Clutter can of . L. p. Yair. . Bartal. Lee-Ad Gottlieb. Ofer. Neiman. Embedding and Distortion. L. p. spaces: . L. p. k. is the metric space . Let (. X,d. ) be a finite metric space. A map f:X. →. . L. p. Alexandr. . Andoni. (MSR). Definition by example. Problem. : Compute the diameter of a set . S. , of size . n. , living in . d. -dimensional . ℓ. 1. d. Trivial solution: . O(d * n. 2. ) . time. Will see solution in . What’s New in Dimension v2.0.1. Performance improvements. Support . for VMware . ESXi. v6.x. Support for TLS v1.2. Dimension Command data included in Feedback sent to . WatchGuard. 2. Dimension Performance Improvements. via Interpolation. Seung-Hee. . Bae. , . Jong. Youl Choi, Judy . Qiu. , and Geoffrey Fox. School of Informatics and Computing. Pervasive Technology Institute. Indiana University. S. A. L. S. A. project. Dimension Reduction. Student: . Seung-Hee. . Bae. Advisor: . Dr. Geoffrey C. Fox. School of Informatics and Computing. Pervasive Technology Institute. Indiana University. Thesis Defense, Jan. 17, 2012. SC 10. New Orleans, USA. Nov 17, 2010. Azure . MapReduce. AzureMapReduce. A . MapRedue. runtime for Microsoft Azure using Azure cloud services. Azure Compute. Azure BLOB storage for in/out/intermediate data storage. Yining Wang. , Yu-Xiang Wang, . Aarti. Singh. Machine Learning Department. Carnegie . mellon. university. 1. Subspace Clustering. 2. Subspace Clustering Applications. Motion Trajectories tracking. 1. Multidimensional Scaling. Seung-Hee. . Bae. , Judy . Qiu. , and Geoffrey C. Fox. School of Informatics and Computing. Pervasive Technology Institute. Indiana University. Outline. Data Visualization. VOLUME. VARIETY. VELOCITY. VALUE. TODAY. THE FUTURE. DATA SIZE. THRIVING IN THE BIG DATA ERA. High performance computing. Computers have become increasingly powerful.. Required for Big Data Analytics. John A. Lee, Michel Verleysen, . Chapter4 . 1. Distance Preservation. دانشگاه صنعتي اميرکبير. (. پلي تکنيک تهران). 2. The motivation behind distance preservation is that any . 2. Alex Andoni. Plan. 2. Dimension reduction. Application: Numerical Linear Algebra. Sketching. Application: Streaming. Application: Nearest Neighbor Search. and more…. Dimension reduction: . linear . l. p. (1<p<2), with applications. Yair. . Bartal. . Lee-Ad Gottlieb Hebrew U. Ariel University. Introduction. Fundamental result in dimension reduction: Johnson-. Lindenstrauss. Lemma (JL-84) for Euclidean space.. High-dimensional Data Analysis. Jong Youl Choi, . Seung-Hee. . Bae. , Judy . Qiu. , . and Geoffrey Fox. School of Informatics and Computing. Pervasive Technology Institute. Indiana University. S. A.

Download Document

Here is the link to download the presentation.
"High Performance Dimension Reduction and Visualization for"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.