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Time Series Indexing

You're reading from   Time Series Indexing Implement iSAX in Python to index time series with confidence

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781838821951
Length 248 pages
Edition 1st Edition
Languages
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Author (1):
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Mihalis Tsoukalos Mihalis Tsoukalos
Author Profile Icon Mihalis Tsoukalos
Mihalis Tsoukalos
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Table of Contents (11) Chapters Close

Preface 1. Chapter 1: An Introduction to Time Series and the Required Python Knowledge 2. Chapter 2: Implementing SAX FREE CHAPTER 3. Chapter 3: iSAX – The Required Theory 4. Chapter 4: iSAX – The Implementation 5. Chapter 5: Joining and Comparing iSAX Indexes 6. Chapter 6: Visualizing iSAX Indexes 7. Chapter 7: Using iSAX to Approximate MPdist 8. Chapter 8: Conclusions and Next Steps 9. Index 10. Other Books You May Enjoy

Using icicle plots

In this section, we are going to discuss a different kind of plot, which is called an icicle plot. An icicle plot is a method for presenting hierarchical clustering and is able to visualize hierarchical data using rectangular sectors that go from the root node to the leaves. In our case, we are going to use a zoomable icicle plot.

First, please go to the ZoomableIcicle directory and replace the JSON file in files with 100k.json. This time, instead of changing the JavaScript code, we are going to change the field name of the JSON file from size to value. In general, it is better to change your input data than the code.

Figure 6.9 shows a part of the generated icicle visualization. The rectangle on the left side represents the root node, which contains 99,985 subsequences – this is the total number of subsequences stored in the iSAX index.

Figure 6.9 – Visualizing iSAX using an icicle

Figure 6.9 – Visualizing iSAX using an icicle

Apart from the SAX representation...

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