Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
Journal of Computational and Applied Mathematics
ACM Computing Surveys (CSUR)
Why so many clustering algorithms: a position paper
ACM SIGKDD Explorations Newsletter
On Clustering Validation Techniques
Journal of Intelligent Information Systems
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
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Sarcoidosis is a multisystem disorder that is characterized by the formation of granulomas in certain organs of the body. The exact cause of sarcoidosis is unknown but evidence exists that sarcoidosis results from exposure of genetically susceptible hosts to specific environmental agents. The wide degree of clinical heterogeneity might indicate that sarcoidosis is not a single polymorphic disease but a collection of genetically complex diseases. As a first step to identify the hypothesized subcategories, large amounts of multidimensional data are collected that are divided into distinct levels. We investigated how clustering techniques can be applied to support the interpretation of sarcoidosis and subsequently to reveal categories of sarcoidosis data. An attempt is made to relate multiple clusters between the different data levels based on validation criteria.