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Springer Theses Advances in K-Means Clustering: A Data Mining Thinking, (Paperback)

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Springer Theses Advances in K-Means Clustering: A Data Mining Thinking, (Paperback)
Author: Springer
ISBN: 9783642447570
Format: Paperback
Publication Date: 2014-08-09
Page Count: 180

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Book format
Paperback
Fiction/nonfiction
Non-Fiction
Genre
Computing & Internet
Pub date
2014-08-09
Pages
180
Subgenre
Data Science

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The K-means algorithm is commonly used in data mining and business intelligence. This award-winning research pioneers its application to the intricacies of 'big data', detailing a theoretical framework for aggregating and validating clusters with K-means.

Springer Theses Advances in K-Means Clustering: A Data Mining Thinking, (Paperback)
Author: Springer
ISBN: 9783642447570
Format: Paperback
Publication Date: 2014-08-09
Page Count: 180

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Book format

Paperback

Fiction/nonfiction

Non-Fiction

Genre

Computing & Internet

Pub date

2014-08-09

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Springer Theses Advances in K-Means Clustering: A Data Mining Thinking, (Paperback)

Key item features

Specs

How do you want your item?

More seller options (2)

Get free delivery, shipping and more*

About this item

Product details

Specifications

Book format

Fiction/nonfiction

Genre

Pub date

Warranty

Warranty information

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Lecture Notes in Economic and Mathematic Optimal Firm Behaviour in the Context of Technological Progress and a Business Cycle, Book 352, (Paperback)

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