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Clojure for Data Science

You're reading from Clojure for Data Science Statistics, big data, and machine learning for Clojure programmers

Product type Paperback

Published in Sep 2015

Publisher

ISBN-13 9781784397180

Length 608 pages

Edition 1st Edition

Languages

Clojure

Concepts

Data Analysis

Author (1):

Henry Garner

View More author details

Table of Contents (12) Chapters

Preface

1. Statistics FREE CHAPTER

2. Inference

3. Correlation

4. Classification

5. Big Data

6. Clustering

7. Recommender Systems

8. Network Analysis

9. Time Series

10. Visualization

Index

Downloading the data

This chapter makes use of the Reuters-21578 dataset: a venerable collection of articles that were published on the Reuters newswire in 1987. It is one of the most widely used for testing the categorization and classification of text. The copyright for the text of articles and annotations in the Reuters-21578 collection resides with Reuters Ltd. Reuters Ltd. and Carnegie Group, Inc. have agreed to allow the free distribution of this data for research purposes only.

Note

You can download the example code for this chapter from the Packt Publishing's website or from https://github.com/clojuredatascience/ch6-clustering.

As usual, within the sample code is a script to download and unzip the files to the data directory. You can run it from within the project directory with the following command:

script/download-data.sh

Alternatively, at the time of writing, the Reuters dataset can be downloaded from http://kdd.ics.uci.edu/databases/reuters21578/reuters21578.tar.gz. The rest...

The rest of the chapter is locked

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Authors (1)

Garner

Garner

Henry Garner is a graduate from the University of Oxford and an experienced developer, CTO, and coach. He started his technical career at Britain's largest telecoms provider, BT, working with a traditional data warehouse infrastructure. As a part of a small team for 3 years, he built sophisticated data models to derive insight from raw data and use web applications to present the results. These applications were used internally by senior executives and operatives to track both business and systems performance. He then went on to co-found Likely, a social media analytics start-up. As the CTO, he set the technical direction, leading to the introduction of an event-based append-only data pipeline modeled after the Lambda architecture. He adopted Clojure in 2011 and led a hybrid team of programmers and data scientists, building content recommendation engines based on collaborative filtering and clustering techniques. He developed a syllabus and copresented a series of evening classes from Likely's offices for professional developers who wanted to learn Clojure. Henry now works with growing businesses, consulting in both a development and technical leadership capacity. He presents regularly at seminars and Clojure meetups in and around London.

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