Dimensionality Reduction and the Strange Case of Categorical Data for Predicting Defective Water Meter Devices.
Marco RoccettiLuca CasiniGiovanni DelnevoSimone BonfantePublished in: IHIET (Paris) (2020)
Keyphrases
- categorical data
- dimensionality reduction
- cluster analysis
- numerical data
- parameter free
- attribute values
- numeric data
- principal component analysis
- binary data
- low dimensional
- hierarchical latent class models
- feature extraction
- numerical attributes
- unsupervised learning
- mobile devices
- pattern recognition
- high dimensionality
- clustering method
- multidimensional scaling
- multivariate time series
- data points
- density based clustering
- high dimensional