Yooreeka
| Developer(s) | Haralambos Marmanis |
|---|---|
| Written in | Java |
| Type | Machine Learning and Data mining |
| License | Apache license |
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.
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
- Recommendations
- Collaborative filtering
- Content based
- Search
- PageRank
- DocRank
- Personalization
References
- ^ Haralambos Marmanis; Dmitry Babenko (2009). Algorithms of the Intelligent Web. Manning. ISBNÂ 978-1-933988-66-5.
External links
- Baynoo Website
- Yooreeka on GitHub
- Yooreeka on Google Code (old repository)
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