DOFCM: A Robust Clustering Technique Based Upon Density

Provided by: International Journal of Engineering and Technology
Topic: Data Management
Format: PDF
Robust clustering methods reduce the impact of outliers on cluster centroids. Definition of outlier depends on the data structure and applied detection methods. Noise Clustering (NC) is a robust technique, which defines outlier in terms of a distance, called noise distance. NC identifies outliers during clustering process and modifies various parameters, required for creating clusters, thus effecting clustering output. Its main motive is to reduce the influence of outliers on cluster centroids rather than identifying it hence could not result into original clusters.

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