Comparison of Segmentation Approaches
نویسنده
چکیده
Overview of Selected Segmentation Approaches Segmentation approaches can range from throwing darts at the data to human judgment and to advanced cluster modeling. We will explore four such methods: factor segmentation, k-means clustering, TwoStep cluster analysis, and latent class cluster analysis. Factor Segmentation Factor segmentation is based on factor analysis. The first step is to factor-analyze or form groups of attributes that express some sort of common theme. The number of factors is determined using a combination of statistics and knowledge of the category. Once the number of factors has been determined, each respondent receives a score for each of the factors. Respondents are then assigned to the factor that has the highest score.
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