Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

The number of clusters is usually determined from the data, often using BIC. In practice, however, individual clusters can be poorly fitted by Gaussian distributions, and in that case model-based ...

Guifang Shen, Research on Marine Water Quality Evaluation Model Based on Improved Harmony Search Algorithm by Gaussian Disturbance to Optimize Takagi-Sugeno Fuzzy Neural Network, Journal of Coastal ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.