Clustering high dimensional meteorological scenarios: Results and performance index.
Yamila BarreraLeonardo BoechiMatthieu JonckheereVincent LefieuxDominique PicardEzequiel SmuclerAgustín SomacalAlfredo UmfurerPublished in: Int. J. Approx. Reason. (2021)
Keyphrases
- high dimensional
- data points
- high dimensionality
- clustering method
- clustering algorithm
- k means
- high dimensional data
- hierarchical clustering
- high dimensional data sets
- high dimensional datasets
- unsupervised learning
- anomaly detection
- dimension reduction
- parameter space
- cluster analysis
- self organizing maps
- sparse data
- low dimensional
- dimensionality reduction
- categorical data
- real world
- weather forecasting
- similarity search
- database
- spectral clustering
- noisy data
- microarray data
- distance metric
- sparse coding
- satellite images
- variable selection
- subspace clustering
- nearest neighbor search
- index structure
- semi supervised
- pairwise
- high dimensional indexing