Fast Density Clustering Algorithm for Numerical Data and Categorical Data
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DOI: 10.1155/2017/6393652
Abstract: Data objects with mixed numerical and categorical attributes are often dealt with in the real world. Most existing algorithms have limitations such as low clustering quality, cluster center determination difficulty, and initial parameter sensibility. A… read more here.
Keywords: density clustering; cluster centers; fast density; clustering algorithm ... See more keywords