The new efficient and accurate attribute-oriented clustering algorithms for categorical data
Categorical data clustering has attracted much attention recently due to the fact that much of the data contained in today’s databases is categorical in nature. Many algorithms for clustering categorical data have been proposed, in which attribute-oriented hierarchical divisive clustering algorithm...
Saved in:
主要作者: | Qin, Hongwu |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2012
|
在線閱讀: | http://umpir.ump.edu.my/id/eprint/37063/1/The%20new%20efficient%20and%20accurate%20attribute-oriented%20clustering%20algorithms%20for%20categorical%20data.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
New rough set based maximum partitioning attribute algorithm for categorical data clustering
由: Jomah Baroud, Muftah Mohamed
出版: (2022) -
Rough set approach for categorical data clustering
由: Herawan, Tutut
出版: (2010) -
Application of EM algorithm on missing categorical data analysis
由: Hasan, Noraini
出版: (2009) -
An efficient clustering algorithm in the presence on outlier and doubtful data
由: Md. Jedi, Muhamad Alias
出版: (2015) -
A new soft set-based technique for clustering attribute selection in educational data mining
由: Suhirman, .
出版: (2016)