基于Kmeans++聚类的朴素贝叶斯集成方法研究 (Research on Naive Bayes Ensemble Method Based on Kmeans++ Clustering).
Xi ZhongXiang'e SunPublished in: 计算机科学 (2019)
Keyphrases
- k means
- naive bayes
- ensemble methods
- decision trees
- uci data sets
- base classifiers
- clustering algorithm
- logistic regression
- classification accuracy
- data clustering
- clustering method
- text classification
- prediction accuracy
- ensemble learning
- random forest
- bayesian networks
- text categorization
- cluster centers
- training data
- classification algorithm
- cost sensitive
- benchmark datasets
- spectral clustering
- classification error
- document clustering
- base learners
- clustering quality
- machine learning
- machine learning methods
- machine learning algorithms
- multi class
- feature selection
- training set
- classifier ensemble
- supervised learning
- ensemble classifier
- data sets
- rule learning
- probability estimates
- multiple models
- classifier combination
- low variance