It takes the average reader 7 hours and 10 minutes to read Data Clustering: Theory, Algorithms, and Applications, Second Edition by Guojun Gan
Assuming a reading speed of 250 words per minute. Learn more
Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.
Data Clustering: Theory, Algorithms, and Applications, Second Edition by Guojun Gan is 430 pages long, and a total of 107,500 words.
This makes it 145% the length of the average book. It also has 131% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 9 hours and 47 minutes to read Data Clustering: Theory, Algorithms, and Applications, Second Edition aloud.
Data Clustering: Theory, Algorithms, and Applications, Second Edition is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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