This software implement a data dependent dissimilarity Measure, named mass-based
dissimilarity. This implementation uses an axis-parallel iForest (Isolation Forest).
For more details, please refer to the original paper:
Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data
Dependent Dissimilarity Measure. KDD 2016, http://dx.doi.org/10.1145/2939672.2939779
KDD2016-Presentation slides.pdf is used for presentation in KDD 2016.
Mass-based dissimilarity Ver 1.0.zip is the source code for this software.
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Copyright (c) 2016, Ye Zhu, Monash University, August 2016, version 1.0
All rights reserved. This software is licensed under GPLv3.
Since this software is licensed under the Gnu General Public license GPLv3, any derivative work
must be licensed under the GPL as well.
This software is free only for non-commercial use. For commercial projects, it is possible to
obtain a commercial license through the Commercial Services of Federation University Australia.
Please email the first author of the original paper kaiming.ting@federation.edu.au
for any enquiries about this software.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* The use is only for non-commercial, the above copyright notice and this
paragraph are duplicated in all such forms and that any documentation,
and other materials related to such distribution and use acknowledge
that the software was developed by Ye Zhu.
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the distribution
* Neither the name of the Monash University nor the names
of its contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
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