A hierarchical Gamma Mixture Model-based method for estimating the number of clusters in complex data.
Muhammad AzharJoshua Zhexue HuangMd Abdul MasudMark Junjie LiLaizhong CuiPublished in: Appl. Soft Comput. (2020)
Keyphrases
- complex data
- initial set
- hierarchical clustering
- computational cost
- detection method
- computational complexity
- cost function
- high accuracy
- pairwise
- em algorithm
- preprocessing
- significant improvement
- segmentation method
- image data
- unsupervised clustering
- clustering method
- multi dimensional
- neural network
- k means
- similarity measure
- learning algorithm
- machine learning