A modified hyperplane clustering algorithm allows for efficient and accurate clustering of extremely large datasets.
Ashok SharmaRobert PodolskyJieping ZhaoRichard A. McIndoePublished in: Bioinform. (2009)
Keyphrases
- clustering algorithm
- hyperplane
- data points
- k means
- clustering approaches
- clustering method
- document clustering
- feature space
- linear classifiers
- input space
- spectral clustering
- convex hull
- maximal margin
- linear svm
- principal components
- data sets
- svm classifier
- kernel function
- high quality
- high dimensional data sets
- incremental learning algorithm
- unsupervised learning
- support vector machine
- support vector
- linearly separable
- principal direction
- computer vision