Evolving Ensemble-Clustering to a Feedback-Driven Process
作者： Martin Hahmann , Dirk Habich , Wolfgang Lehner
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摘要: Data clustering is a highly used knowledge extraction technique and applied in more application domains. Over the last years, lot of algorithms have been proposed that are often complicated and/or tailored to specific scenarios. As result, has become hardly accessible domain for non-expert users, who face major difficulties like algorithm selection parameterization. To overcome this issue, we develop novel feedback-driven process using new perspective clustering. By substituting parameterization with user-friendly feedback providing support result interpretation, becomes allows step-by-step construction satisfying through iterative refinement.
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