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Java Data Analysis

You're reading from   Java Data Analysis Data mining, big data analysis, NoSQL, and data visualization

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787285651
Length 412 pages
Edition 1st Edition
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Author (1):
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John R. Hubbard John R. Hubbard
Author Profile Icon John R. Hubbard
John R. Hubbard
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Data Analysis 2. Data Preprocessing FREE CHAPTER 3. Data Visualization 4. Statistics 5. Relational Databases 6. Regression Analysis 7. Classification Analysis 8. Cluster Analysis 9. Recommender Systems 10. NoSQL Databases 11. Big Data Analysis with Java A. Java Tools Index

Using random access files


Another alternative for storing the similarity matrix (and the utility matrix) is to use a RandomAccessFile object. This is illustrated in Listing 9.23:

Listing 9.23: Using a random access file

This little test program creates a random access file named inout at line 17. The constant W, defined at line 12, is the number of bytes (8) that Java uses to store a double value. We need that to locate our data in the file. The second argument to the constructor, the string rw, means that we will be both reading from and writing to the file. The loop at lines 18-20 writes 100 square roots into the file. The output from line 21 confirms that the file contains 800 bytes.

The loop at lines 23-27 uses direct access (random access) into the file, just like accessing a 100-element array. Each access requires two steps: seek the location to be read, and then read it. The seek() method sets the file's read-write pointer to the point in the file where access is to begin. Its argument...

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