From the course: Data Science Foundations: Data Mining in R
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Clustering overview
From the course: Data Science Foundations: Data Mining in R
Clustering overview
- [Instructor] Libraries are the original, big data and a great place to go mine data for insights. But the value of a library is only partly in the books that it holds. What makes the library useful is that the books are organized in a meaningful way. But as you might guess, there are many different ways to organize books or to put them into meaningful clusters. For example, there is the library of Congress classification system where QA276 is where I often end up looking for statistics books, or there's the Dewey Decimal system. The same books might be under 006. There's the Harvard-Yenching classification. This is English classification system for Chinese language materials. I know other people who classified books by size or by color. You can do ISBNs, the name of the author, the publisher, and so on. The point is there are a lot of different ways to bring in order, but the thing that matters is that you bring…
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