Hierarchical, prototype-based clustering of multiple time series with missing values.
Pekka WartiainenTommi KärkkäinenPublished in: ESANN (2015)
Keyphrases
- missing values
- missing data
- high dimensional data
- hierarchical clustering
- missing data imputation
- data imputation
- incomplete data
- clustering method
- clustering algorithm
- unsupervised learning
- self organizing maps
- k means
- feature values
- missing information
- missing attribute values
- document clustering
- cluster ensemble
- neural network
- data matrix
- bayesian networks
- data clustering
- outlier detection
- low dimensional