'Linear discriminant function' diaporamas de présentation

Discriminant Analysis

Discriminant analysis is used to determine which variables discriminate between two or more naturally occurring groups. Computationally, discriminant function analysis is very similar to analysis of variance (ANOVA). Discriminant Analysis. Sunday, 30 November 2014 9:42 PM.

1.72k views • 62 slides

240-650 Principles of Pattern Recognition

240-650 Principles of Pattern Recognition. Montri Karnjanadecha montri@coe.psu.ac.th http://fivedots.coe.psu.ac.th/~montri. Chapter 2. Bayesian Decision Theory. Statistical Approach to Pattern Recognition. A Simple Example. Suppose that we are given two classes w 1 and w 2

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LINEAR DISCRIMINANT FUNCTIONS

521 views • 48 slides

Classification: Linear Models

Classification: Linear Models. Prof. Navneet Goyal CS & IS BITS, Pilani. Classification. By now, you are well aware of the classification problem Assign an input vector x to one of the K discrete disjoint classes, C k

547 views • 40 slides

Chapter 4 Linear Models for Classification

Chapter 4 Linear Models for Classification. 4.1 Introduction 4.2 Linear Regression 4.3 Linear Discriminant Analysis 4.4 Logistic Regression 4.5 Separating Hyperplanes. 4.1 Introduction. The discriminant function for the kth indicator response variable

892 views • 34 slides

Chapter 4 Linear Models for Classification

Chapter 4 Linear Models for Classification. 4.1 Introduction 4.2 Linear Regression 4.3 Linear Discriminant Analysis 4.4 Logistic Regression 4.5 Separating Hyperplanes. 4.1 Introduction. The discriminant function for the kth indicator response variable

375 views • 34 slides

243 views • 13 slides