Empirical analysis of rough set categorical clustering techniques based on rough purity and value set
Clustering a set of objects into homogeneous groups is a fundamental operation in data mining. Recently, attention has been put on categorical data clustering, where data objects are made up of non-numerical attributes. The implementation of several existing categorical clustering techniques is c...
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | أطروحة |
| اللغة: | الإنجليزية الإنجليزية |
| منشور في: |
2017
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://eprints.uthm.edu.my/336/ |
| Abstract | Abstract here |