In this presentation I introduce my paper Instance Weighted Clustering: Local Outlier Factor and K-Means. I briefly explain the area, inspirations, methodology and findings. Instance Weighted clustering is easy to understand and produces robust clustering results, the technique can be applied to variety of k-means like algorithms.

Instance Weighting Local Outlier Factor based Approach

technical paper

21st edition of EANN (International Conference on Engineering Applications of Neural Networks) should be held in Halkidiki, Greece. Due to current Covid-19 situation the conference will be held virtually and Underline will host a repository of video talks and preserve them for the future. Videos will be released on Underline one day after the conference. 

M. Lilley

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Instance Weighting Local Outlier Factor based Approach

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