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Data Mining and User Profile Construction in Marketing Strategy of Cultural Industry

  
24 sept. 2025
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Figure 1.

Cluster effect
Cluster effect

Figure 2.

Algorithm efficiency
Algorithm efficiency

Figure 3.

Elbow curve and contour coefficient curve
Elbow curve and contour coefficient curve

Cluster analysis and Wilk lambda

Cluster number Cluster number is 3 Cluster number is 4 Cluster number is 5
Clustering index F value Sig F value Sig F value Sig
Interest experience factor 973.635 .000 771.849 .000 651.434 .000
Service sensory factor 594.806 .000 530.906 .000 495.883 .000
Cultural orientation factor 1096.785 .000 956.419 .000 802.983 .000
Communication sharing factor 548.275 .000 308.347 .000 293.879 .000
Wilk lambda 0.311 0.178 0.156
Grouping probability(%) 82.40% 88.60% 87.20%

Cluster results of user portraits

Type of user portrait Class A user Class B user Class C user Class D user
Interest experience factor -0.745 0.225 -0.884 0.558
Service sensory factor -0.732 0.334 -1.044 0.585
Cultural orientation factor -0.647 0.378 -1.084 0.654
Communication sharing factor -0.422 0.472 -1.135 0.696
Sample size 9995 1859 341 2873
Effective sample size 9995 1859 341 2873
Missing sample size 0 0 0 0