Improved K-mean clustering with Mobile Agent
نویسندگان
چکیده
The data stream model has recently attracted attention for its applicability to numerous types of data, including telephone records, Web documents, and click streams. For analysis of such data, the ability to process the data in a single pass, or a small number of passes, while using little memory, is crucial. D-Stream algorithm is an extended grid-based clustering algorithm for different dimensional data streams. One of the disadvantages of D-Stream algorithm is the large number of grids, especially for high-dimensional data. So we use the mobile agent to deal with the different dimensional data. This method can reduce the number of the grids and the number of the update times. So using mobile agent technique with data stream algorithm we make the data stream clustering more simplified and
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