PDF-CSE Srihari Discriminant Analysis

Fisher Linear Discriminant 2 Multiple Discriminant Analysis brPage 2br CSE 555 Srihari 1 Motivation Projection that best separates the data in a least squares sense CA finds components that are useful for representing data owever no reason to assum. PCA Limitations of LDA Variants of LDA Other dimensionality reduction methods brPage 2br CSCE 666 Pattern Analysis Ricardo Gutierrez Osuna CSETAMU Linear discriminant analysis two classes Objective LDA seeks to reduce dimensionality while preserv That can lead to either increasing the clock speed or decreasing the power consumption Multiprocessing can be also used to increase speed or reduce power brPage 2br YORK UNIVERSITY CSE4210 Pipelining ab yn xn2 xn1 xn tion multiplica one and additi Rao CSE 326 CSE 326 Lecture 7 More on Search Trees Todays Topics Lazy Operations Run Time Analysis of Binary Search Tree Operations Balanced Search Trees AVL Trees and Rotations Covered in Chapter 4 of the text R Software Design & Implementation. Abstract data types II. Autumn 2011. Kinds of ADT . operations (abstract). creators & producers. mutators. observers. make new values of an. . ADT. Creators. I. Standard Form of a quadratic. In form of . Lead coefficient (a) is positive..  .  .  . Examples.  . II. Discriminant. Tells us about nature . of. roots of a quadratic. 4 cases: 1. If D>0, then 2 real roots.. Lecture 12. Modular Arithmetic and Applications. Autumn . 2012. Autumn 2012. CSE 311. 1. Announcements. Reading assignments. Today and Friday: . 4.1-4.3 . 7. th. Edition. Compiler Construction. Scanner. Regex. Automata. Hand-Written Scanner. Grammars. . & BNF. Next. Spring 2014. Jim Hogg - UW - CSE P501. B-. 1. Spring 2014. Jim Hogg - UW - CSE P501. A-. 2. Source. What you need to know about targeting, grooming and Child Sexual Exploitation. A guide for anyone working with young people . Before you go any further:. Fill in the survey. You need to know: . The grooming line. Lecture 20. Context-Free Grammars and Languages. Autumn 2012. Autumn 2012. CSE 311. 1. Announcements. Reading Assignment. 7. th. Edition, . Section 9.1 and pp. 594-601. 6. th. Edition, . Section 8.1 and pp. 541-548. Vocabulary. Discriminant - tells you how many solutions and what type you will have.. If the . discriminant is. . positive . – 2 real solutions. . negative . – 2 imaginary solutions. . zero . – 1 real solution. Recall, we have used the quadratic formula previously. Gives the location of the roots (x-intercepts) of the graph of a parabola. Function must be in standard form; f(x) = ax. 2. + . bx. + c. Example. Find the roots for the function f(x) = 2x. . for the given values:.  . 3. Sketch . the graph for each quadratic. No solutions One solution Two solutions. Using the Discriminant. I can . use the discriminant to determine how many solutions a quadratic equation will have.. Data Mining for Business Analytics. Shmueli. , Patel & Bruce. Discriminant Analysis: Background. A classical statistical technique. Used for classification long before data mining. Classifying organisms into species. Winter 2017. 1. Presentations on Monday. 2:30-4:20pm, Monday 3/13. No . more than 5 slides (including title slide. ). Time limit to be announced. Both partners should speak. Slides are due BY NOON (12pm) on Mon 3/13 to catalyst.