Robust K-means algorithm with automatically splitting and merging clusters and its applications for surveillance data.
Jingsheng LeiTeng JiangKui WuHaizhou DuGuokang ZhuZhaoqing WangPublished in: Multim. Tools Appl. (2016)
Keyphrases
- k means
- input data
- cluster centers
- clustering result
- fuzzy k means
- clustering algorithm
- clustering method
- clustering analysis
- data clustering
- detection algorithm
- erroneous data
- hierarchical clustering algorithms
- noisy data
- data sets
- data points
- spectral clustering
- data samples
- learning algorithm
- hierarchical clustering algorithm
- hierarchical clustering
- training data
- unsupervised clustering
- data sources
- expectation maximization
- synthetic datasets
- computationally efficient
- fuzzy clustering algorithm
- data distribution
- valued data
- optimal solution
- fuzzy clustering
- data objects
- data analysis
- cluster centroids
- objective function
- dissimilarity matrix
- similarity matrix
- rows and columns
- data structure
- clustering approaches
- probabilistic model
- subspace clustering
- high dimensional data
- missing data
- object tracking
- cluster analysis