PPT-Principal Component Analysis and

Linear Discriminant Analysis Chaur Chin Chen Institute of Information Systems and Applications National Tsing Hua University Hsinchu 30013 Taiwan Email cchencsnthuedutw. SPSS. Karl L. Wuensch. Dept of Psychology. East Carolina University. When to Use PCA. You have a set of . p. continuous variables.. You want to repackage their variance into . m. components.. You will usually want . Pattern Analysis. Finding patterns among objects on which two or more independent variables have been measured. . Principal Coordinates Analysis . (PCO). Principal . Components Analysis. . (PCA) (. 1. Code of Virginia. § 22.1-294. Principals and assistant principals who have achieved continuing contract status shall be formally evaluated at least once every three years and evaluated informally at least once each year that they are not formally evaluated. Probationary principals and assistant principals shall be evaluated each school year. . Key Ideas, Your Role, and Your School’s Leading and Lagging Indicators . Alexis . Nordin. Research Associate III. Goals for Today. Overview of the Principal Evaluation Components & Timeline. Introduction to the MPES Goal-Setting & Scoring Process. Principal Professional Growth . and Effectiveness System. . Effectiveness. is the goal.. . Evaluation. is merely the means.. ©. Leader Evaluation System. What. is the basis of principals’ evaluation?. 07/05/13 DRAFT. Principal Effectiveness. Why Important and Why Now?. Effective school leadership has an impact on developing a culture focused on student achievement. As noted in the Wallace Foundation . OF MULTIVARIATE STATISTICAL . METHOD . IN THE STUDY OF . MORPHOLOGICAL. . FEATURES OF TILAPIA CABREA.  . By.  . Bartholomew A. . Uchendu. (. Ph.D. ).  . Department of . Maths. /Statistics, Federal Polytechnic, . December 22, 2015. OCS Webinar. Revisions for FY 16 Principal Evaluation Process/Instrument. Need . AdvancED Improvement Priority: April 2015. “Review and align the administrator and teacher supervision and performance evaluation tools to reflect standards and benchmarks for effective schools in order to enhance and impact pedagogy.”. . –. A list of numbers or attributes characterizing an observation or experiment. Vectors can be pictures!. Some Important Terms. Represent normalized . intensities of mixture . Components as arrows:. Key Ideas, Your Role, and Your School’s Leading and Lagging Indicators . Alexis . Nordin. Research Associate III. Goals for Today. Overview of the Principal Evaluation Components & Timeline. Introduction to the MPES Goal-Setting & Scoring Process. Linear . Discriminant. Analysis. Chaur. -Chin Chen. Institute of Information Systems and Applications. National . Tsing. . Hua. University. Hsinchu. . 30013, Taiwan. E-mail: cchen@cs.nthu.edu.tw. Karl L. Wuensch. Dept of Psychology. East Carolina University. When to Use PCA. You have a set of . p. continuous variables.. You want to repackage their variance into . m. components.. You will usually want . Analysis. CS771: Introduction to Machine Learning. Nisheeth. K-means loss function: recap. 2. X. Z.  . N. K. K.  .  .  . [. ,. . ] denotes a length . one-hot encoding of . .  . Remember the matrix factorization view of the k-means loss function?. explore how to model an outcome variable in terms of input variable(s) using linear regression, principal component analysis and Gaussian processes. At the end of this class you should be able to . ….