Method for inferring the number of clusters based on a range of attribute values with subsequent automatic data labeling.
Aline Montenegro Leal SilvaFrancisco Jair de Oliveira NeresAna Paula da Silva MendesVinícius Ponte MachadoAndré Macedo SantanaRicardo de Andrade Lira RabeloPublished in: INNS DLIA@IJCNN (2023)
Keyphrases
- association rules
- attribute values
- input data
- data mining
- data points
- missing data
- data sets
- cluster centers
- training data
- decision making
- categorical data
- data analysis
- missing values
- concept hierarchy
- decision tree learning
- categorical attributes
- attribute oriented induction
- numerical data
- labeled data
- information loss
- k means
- similarity measure
- neural network