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VoD Service Preferences by Demographic Clusters by Vibhor Verma is a document available to read on EtoBox.

The document discusses using k-means clustering on demographic data to segment the population into 4 clusters based on attributes. It then performs regression analysis on each cluster to determine which attributes of video on demand (VoD) services are most important to each segment. For cluster 1 (students), stream quality, content, and number of users allowed were found to be extremely important. For cluster 2 (working unmarried individuals), content and plan were major deciding factors. For cluster 3 (und

Author
Vibhor Verma
Language
EN