Clustering high dimensional meteorological scenarios: results and performance index.
Yamila BarreraLeonardo BoechiMatthieu JonckheereVincent LefieuxDominique PicardEzequiel SmuclerAgustín SomacalAlfredo UmfurerPublished in: CoRR (2020)
Keyphrases
- high dimensional
- data points
- high dimensional data
- high dimensionality
- clustering algorithm
- clustering method
- similarity search
- low dimensional
- cluster analysis
- k means
- high dimensional datasets
- high dimensional data sets
- hierarchical clustering
- subspace clustering
- unsupervised learning
- multi dimensional
- index structure
- high dimensional indexing
- manifold learning
- data clustering
- categorical data
- document clustering
- database
- dimensionality reduction
- nearest neighbor
- davies bouldin
- indexing method
- distance metric
- variable selection
- dimension reduction
- microarray data
- kernel function
- pairwise
- real world