Book Image

Practical Data Analysis - Second Edition

By : Hector Cuesta, Dr. Sampath Kumar
Book Image

Practical Data Analysis - Second Edition

By: Hector Cuesta, Dr. Sampath Kumar

Overview of this book

Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you’ll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.
Table of Contents (21 chapters)
Practical Data Analysis - Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Chapter 5. Similarity-Based Image Retrieval

A big part of the data that we work with is presented as an image, a drawing, or a photo. In this chapter, we will implement a Similarity-Based Image Retrieval without the use of any metadata or concept-based image indexing. We will work with distance metric and dynamic warping to retrieve the most similar images.

In this chapter, we will cover:

  • Image similarity search

  • Dynamic time warping

  • Processing the image dataset

  • Implementing DTW

  • Analyzing the results

  • Summary