Figure 9
From: Robust clustering in high dimensional data using statistical depths
Experimental results on the noisy Alon data. Figure a displays comparison of entropy of the clustering algorithms on the noisy Alon data. The performance of the bisecting k-spatialMedian algorithms (with the selection criterion relative average depth or the largest variance) are very similar. The bisecting k-median algorithm cannot separate the two clusters, so its entropy value is not available thus not shown in this figure. Figure b displays comparison of misclustering rates of the clustering algorithms on the noisy Alon data. The performance of the bisecting k-spatialMedian algorithms (with the selection criterion relative average depth or the largest variance) are very similar. The bisecting k-median algorithm cannot separate the two clusters, so its misclustering rate is not available thus not shown in this figure.