Evaluating the Impact of Categorical Data Encoding and Scaling on Neural Network Classification Performance: The Case of Repeat Consumption of Identical Cultural Goods.
Elena Fitkov-NorrisSamireh VahidChris HandPublished in: EANN (2012)
Keyphrases
- categorical data
- neural network
- pattern recognition
- correspondence analysis
- cluster analysis
- learning vector quantization
- parameter free
- numerical data
- decision trees
- numeric data
- unsupervised learning
- feature selection
- fractal image encoding
- support vector
- machine learning
- hierarchical latent class models
- support vector machine svm
- support vector machine
- feature space
- topic models
- maximum likelihood
- text classification
- supervised learning
- knowledge discovery
- numerical attributes
- training set
- feature extraction
- image segmentation