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Showing 1 to 3 of 3 for “"exploratory cluster analysis"”.

  1. Probabilistic Finite Mixture Clustering of Genetic Expression Microarray Data

    Exploratory cluster analysis of large data sets often implements k-means or hierarchical methods. These routines typically exhibit limitations which reduces the reliability of the results. Both assign observations to the one component for which its Euclidean distance from the center is smallest. …

    wfu Repository record for Probabilistic Finite Mixture Clustering of Genetic Expression Microarray Data (opens in a new tab)

  2. Attracting Applicants with Corporate Social Responsibility: A Social Dilemma Perspective

    … and applying adaptive choice-based conjoint analysis (ACBC: Orme, 2020), I examined how each CSR dimension and important tangible attributes differently affect applicant attraction in job choice situations and how personal values influence the relationship. Additionally, I conducted an …

    claremont Repository record for Attracting Applicants with Corporate Social Responsibility: A Social Dilemma Perspective (opens in a new tab)

  3. Differentiation of Central Auditory Processing Disorder and Attention-Deficit Hyperactivity Disorder in Children and Adolescents

    … for CAPD as a distinct clinical entity. Second, exploratory cluster analysis was performed to further investigate the relationship between ADHD and CAPD. This procedure lead to the identification of four distinct clusters. However, analyses of these clusters revealed no distinct pattern of …

    unt Repository record for Differentiation of Central Auditory Processing Disorder and Attention-Deficit Hyperactivity Disorder in Children and Adolescents (opens in a new tab)