'Iris data' presentation slideshows

1.83k views • 44 slides

Multivariate Analysis and Discrimination

Multivariate Analysis and Discrimination. EPP 245 Statistical Analysis of Laboratory Data. Cystic Fibrosis Data Set. The 'cystfibr' data frame has 25 rows and 10 columns. It contains lung function data for cystic fibrosis patients (7-23 years old)

453 views • 38 slides

Visualization and Data Mining

410 views • 33 slides

Visualization and Data Mining

338 views • 33 slides

Multivariate Analysis Past, Present and Future

Multivariate Analysis Past, Present and Future. Harrison B. Prosper Florida State University PHYSTAT 2003 10 September 2003. Outline. Introduction Historical Note Current Practice Issues Summary. Introduction. Data are invariably multivariate Particle physics ( h , f , E, f)

452 views • 30 slides

Multivariate Analysis Past, Present and Future

Multivariate Analysis Past, Present and Future. Harrison B. Prosper Florida State University PHYSTAT 2003 10 September 2003. Outline. Introduction Historical Note Current Practice Issues Summary. Introduction. Data are invariably multivariate Particle physics ( h , f , E, f)

419 views • 30 slides

Applying Modern Crypto to Advance Social Science

Applying Modern Crypto to Advance Social Science. Ran Cohen (MIT & Northeastern) Yarkin Doroz (NJIT) Shafi Goldwasser (MIT) Jason Owen-Smith (IRIS/University of Michigan) Kurt Rohloff (NJIT). Social Science. Relationships among individuals within a society. Social Science. + PRIVACY.

271 views • 27 slides

Part I: Introductory Materials Introduction to R

Part I: Introductory Materials Introduction to R. Dr. Nagiza F. Samatova Department of Computer Science North Carolina State University and Computer Science and Mathematics Division Oak Ridge National Laboratory. What is R and why do we use it?.

377 views • 25 slides

Part I: Introductory Materials Introduction to R

Part I: Introductory Materials Introduction to R. Dr. Nagiza F. Samatova Department of Computer Science North Carolina State University and Computer Science and Mathematics Division Oak Ridge National Laboratory. What is R and why do we use it?.

254 views • 25 slides

Support Vector Machines Classification Venables & Ripley Section 12.5 CSU Hayward Statistics 6601

Support Vector Machines Classification Venables & Ripley Section 12.5 CSU Hayward Statistics 6601. Joseph Rickert & Timothy McKusick December 1, 2004. What is the SVM? The SVM is a generalization of the Optimal Hyperplane Algorithm. Why is the SVM important?

317 views • 24 slides

Pattern Recognition Project

548 views • 23 slides

Heizo Tokutaka 1 , Masaaki Ohkita 1 , Makoto Ohki 2 , and Matashige Oyabu 3

10 th WSOM2014 Hochschule Mittweida , University of Applied Sciences, Mittweida , Germany July 2-4. The significance degree calculation among the data components is OK only by once SOM learning -Using the iris, the Tof -SIMS, and genes data-.

345 views • 20 slides

Securing Data in ePassports Policy Issues

Securing Data in ePassports Policy Issues. ICAO/NTWG. John Davies Director of Systems, UK Passport Service Chairman NTWG PKI Task Force. ICAO/NTWG. The presentation will address:. Why secure electronic data? Why use PKI/encryption?

251 views • 17 slides

Securing Data in ePassports Policy Issues

Securing Data in ePassports Policy Issues. ICAO/NTWG. John Davies Director of Systems, UK Passport Service Chairman NTWG PKI Task Force. ICAO/NTWG. The presentation will address:. Why secure electronic data? Why use PKI/encryption?

174 views • 17 slides

Data Warehouse and Data Cube

Data Warehouse and Data Cube. Lecture Notes for Chapter 3 Introduction to Data Mining By Tan, Steinbach, Kumar And Data Mining, by Han and Kamber, 2 nd Edition Revised by QY. OLAP. On-Line Analytical Processing (OLAP) was proposed by E. F. Codd, the father of the relational database.

508 views • 14 slides

Dynamic graphics, Principal Component Analysis

Dynamic graphics, Principal Component Analysis. Ker-Chau Li UCLA department of Statistics. Xlisp-stat (demo). (plot-points x y) (scatterplot-matrix (list x y z u w)) (spin-plot (list x y z)) Link, remove, select, rescale Examples : (1) simulated data (2) Iris data

210 views • 12 slides

Introduction to ODS Graphics

Introduction to ODS Graphics. Katherine Nicholas. Outline:. What is ODS Basic syntax Saving output to files Built-in graphics Identifying objects in output Outputting to datasets Closing remarks/troubleshooting. What is ODS?. ODS stands for output delivery system

259 views • 12 slides

Model Selection

Model Selection. Manu Chandran. Outline. Background and motivation Over view of techniques Cross validation Bootstrap method Setting up the problem Comparing AIC,BIC,Crossvalidation,Bootstrap For small data set - iris data set For large data set - ellipse data set

226 views • 12 slides

RECEP (Ray) CAKIR The Pennsylvania State University, PhD, 2005

143 views • 2 slides