Scalable Hierarchical Clustering Method for Sequences of Categorical Values

  title={Scalable Hierarchical Clustering Method for Sequences of Categorical Values},
  author={Tadeusz Morzy and Marek Wojciechowski and Maciej Zakrzewicz},
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist many important databases that store categorical data sequences, where significant knowledge is hidden behind sequential dependencies between the data. In this paper we introduce a problem of clustering categorical data sequences and present an efficient scalable algorithm to solve the problem. Our algorithm… CONTINUE READING
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