New combination algorithms in commercial area data mining and clustering

The location of business is indispensable for all commercial activities. However, current partition of commercial area mostly depends on human experience and other subjective factors rather than intelligent decisions, which is likely to mislead people who want to engage in business. The new combination of algorithms in this paper aims to clarify how the commercial area is formed by visualizing whether the position stands in the main area or it is an outlier, and to help businessmen decide which location is worthwhile choosing.

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