Hierarchical Clustering of Massive, High Dimensional Data Sets by Exploiting Ultrametric Embedding.
Fionn MurtaghGeoff DownsPedro ContrerasPublished in: SIAM J. Sci. Comput. (2008)
Keyphrases
- hierarchical clustering
- high dimensional data sets
- multi dimensional
- high dimensional data
- high dimensional
- nearest neighbor search
- clustering algorithm
- hyperplane
- clustering method
- single linkage
- data points
- partitional clustering
- dimensional data
- hierarchical clustering algorithm
- nearest neighbor
- feature space
- vector space
- data analysis
- data sets
- dimensionality reduction
- kernel function
- support vector
- feature extraction
- small sample size
- machine learning