Yooreeka
Yooreeka is a library for data mining, machine learning, soft computing, and mathematical analysis. The project started with the code of the book "Algorithms of the Intelligent Web".[1] Although the term "Web" prevailed in the title, in essence, the algorithms are valuable in any software application.
| Developer(s) | Haralambos Marmanis |
|---|---|
| Written in | Java |
| Type | Machine Learning and Data mining |
| License | Apache license |
It covers all major algorithms and provides many examples.
Yooreeka 2.x is licensed under the Apache License rather than the somewhat more restrictive LGPL (which was the license of v1.x).
The library is written 100% in the Java language.
Algorithms
The following algorithms are covered:
- Clustering
- Hierarchical—Agglomerative (e.g. MST single link; ROCK) and Divisive
- Partitional (e.g. k-means)
- Classification
- Bayesian
- Decision trees
- Neural Networks
- Rule based (via Drools)
- Recommendations
- Collaborative filtering
- Content based
- Search
- PageRank
- DocRank
- Personalization
gollark: Perhaps I could simply have a dropdown-type thing which lets you either see the files list, or not see it?
gollark: - it is bad- it is not applicable
gollark: Where do file management controls go?!!!!!!!!!!!????!?!?!!
gollark: Anyway, le, what do I do?!?!?!?!?!
gollark: Well, it's the easiest platform for me to deal with, and I don't want to write 1201284 mobile applications.
References
- Haralambos Marmanis; Dmitry Babenko (2009). Algorithms of the Intelligent Web. Manning. ISBN 978-1-933988-66-5.
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