Isolation Forest: Project Home – R-Forge

This package implements an anomaly detection method that detects data-anomalies using binary trees. Using the property that anomalies are more susceptible to isolation, anomalies can be detected as data points which have short expected path lengths.

• Development Status : 3 - Alpha
• Environment : Win32 (MS Windows)
• Intended Audience : End Users/Desktop
• Intended Audience : Other Audience
• License : OSI Approved : GNU General Public License (GPL)
• Natural Language : English
• Operating System : MacOS
• Operating System : Microsoft : Windows
• Operating System : POSIX : Linux
• Programming Language : C/C++
• Programming Language : R
• Topic : Machine Learning : Recursive Partitioning

Registered: 2009-07-14 06:02
Activity Ranking: 0
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