Eating Behavior Analysis of Cruise Ship Passengers Based on K-means Clustering Algorithm

In order to discover the real demand of cruise ship passengers and find the connection between their demand and cruise ship space design, we conduct a questionnaire survey of the passengers’ characteristics and their eating behavior. Through the analysis on the passengers’ eating behavior by using K-means clustering algorithm on the basis of the survey data, different types of their behavior characteristics are recognized, and the connections between the passengers’ characteristics and their eating behavior are discussed. The research results are helpful to understand cruise ship passengers’ eating demand and improve the design concept of cruise ship.