This algorithm is based on the CF (clustering features) tree. In addition, this algorithm uses a tree-structured summary to create clusters. The tree structure of the given data is built by the BIRCH ...

In parallel, the adaptation of probabilistic topic models to public information datasets has further consolidated the role of data mining in algorithm innovation, offering new perspectives on the ...

Current hierarchical clustering algorithms face the risk of privacy leakage during the clustering process for big dataset. While differential privacy is a relatively recent development in the field of ...

Online time series data representation is one of important problems of time series data mining. The adjacent points of time series are inherently depended and hence have similar clustering features.