Soft set approach for decision attribute selection in data clustering
Clustering is one of the fundamental operations in data mining that cluster set of heterogeneous data objects into smaller homogeneous classes. Using clustering attribute (decision attribute) is one of the data clustering techniques. Soft set theory is a new mathematical tool applying in clustering...
Main Author: | Lok, Leh Leong |
---|---|
Format: | Undergraduates Project Papers |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/8719/1/CD8312%20%40%2073.pdf |
Similar Items
-
On soft partition attribute selection
by: Rabiei, Mamat, et al.
Published: (2012) -
An Interval-Valued Fuzzy Soft Set Based Decision Making Approach Considering Weight
by: Hongwu, Qin, et al.
Published: (2014) -
A Critical Review of General Method and Game-based Method in Learning Time Dilation
by: Lok, Leh Leong, et al.
Published: (2015) -
An Alternative Algorithm for Soft Set Parameter Selection using Special Order
by: Mohammed, Mohammed Adam Taheir, et al.
Published: (2015) -
Soft set theory based decision support system for mining electronic government dataset
by: Witarsyah, Deden, et al.
Published: (2020)