Process Mining Techniques for Pattern Recognition

5 Pattern Recognition

Akanksha Toshniwal

DOI: 10.1201/9781003169550-5

CONTENTS

1 Introduction

2 Probability Theory

2.1 Bayesian Probability Theory

3 Curve Fitting

3.1 Bias and Variance

3.1.1 Bias Variance Trade-Off

4 The Curse of Dimensionality

5 Classification

6 Clustering

Note

References

1 INTRODUCTION

Searching for patterns has a long history. For example, in the 16th century, Johannes Kepler discovered the empirical law of planetary motion based on the extensive astronomical observations by Tycho. The discovery of quantum physics established regularities in atomic spectra in the early 20th century. The human brain is programmed to observe regular patterns and reacts in the event of any irregularities. For example: a human baby can ...