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Four Fundamental Problems:
Four Fundamental Problems:


1. Classification
1. Classification: Given an input object X, we have a function which will take in this input X and identity which 'class (Y)' it belongs to. (Discrete Case)
2.Regression
2.Regression: Same as classification but in the continuous case
3.Clustering
3.Clustering: Use common features of objects in same class or group to form clusters.
4. Dimensionality Reduction
4. Dimensionality Reduction


Main Applications: Computer Vision, Computer Graphics, Finance (fraud detection), Machine Learning
Main Applications: Computer Vision, Computer Graphics, Finance (fraud detection), Machine Learning

Revision as of 06:57, 9 May 2013

Computer Simulation of Complex Systems (Stat 340 - Spring 2013)

Introduction

Four Fundamental Problems:

1. Classification: Given an input object X, we have a function which will take in this input X and identity which 'class (Y)' it belongs to. (Discrete Case) 2.Regression: Same as classification but in the continuous case 3.Clustering: Use common features of objects in same class or group to form clusters. 4. Dimensionality Reduction

Main Applications: Computer Vision, Computer Graphics, Finance (fraud detection), Machine Learning