Clustering ensemble learning method based on incremental genetic algorithms
Over the past decade, the clustering ensemble has been emerged as a prominent method as far as the improving of clustering accuracy is concerned. Two major difficulties in clustering ensemble include diversity of clustering and consensus functions. Genetic algorithms are well known methods with high...
Saved in:
主要作者: | Ghaemi, Reza |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2012
|
在線閱讀: | http://psasir.upm.edu.my/id/eprint/31408/1/FSKTM%202012%208R.pdf http://psasir.upm.edu.my/id/eprint/31408/ |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
A review: accuracy optimization in clustering ensembles using genetic algorithms
由: Ghaemi, Reza, et al.
出版: (2011) -
Clustering for binary data sets by using genetic algorithm-incremental K-means
由: Saharan, S., et al.
出版: (2018) -
A Comparative Work of Incremental Learning and Ensemble Learning for Brainprint Identification
由: Liew, Siaw Hong, et al.
出版: (2023) -
Genetic algorithm ensemble filter methods on kidney disease classification
由: Huspi, Sharin Hazlin, et al.
出版: (2021) -
Genetic algorithm based ensemble framework for sentiment analysis
由: Lai, Po Hung
出版: (2018)