K-sets+: a Linear-time Clustering Algorithm for Data Points with a Sparse Similarity Measure.
Cheng-Shang ChangChia-Tai ChangDuan-Shin LeeLi-Heng LiouPublished in: CoRR (2017)
Keyphrases
- data points
- similarity measure
- clustering algorithm
- high dimensional
- clustering method
- hierarchical clustering algorithm
- euclidean distance
- cluster centers
- nearest neighbor
- data distribution
- low dimensional
- meaningful clusters
- similarity search
- mutual information
- dimensionality reduction
- high dimensional data
- sparse representation
- data clustering
- similarity function
- cluster labels
- compressive sensing
- feature space
- similarity computation
- proximity matrix
- measuring similarity
- high dimensional data sets
- cluster structure
- pairwise
- graph model
- hyperplane
- spectral clustering