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A New K-Means Clustering Algorithm for Customer Classification in Precision Marketing
2021
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K-means is wildly used in data mining and clustering for its powerful data clustering ability, but its inherent limitations affect its application fields and accuracy. Theoriginal K-means algorithm is improved and applied in customer clustering in precision marketing. Firstly, integrates K-means algorithm with particle swarm optimization according to analyzing the source of the K-means calculation limitations; Secondly, improves the improved algorithm in its operation time, convergence speed,
doi:10.17762/converter.227
fatcat:ovbi4ss7d5cxfichsb6ptidnc4