![]() Developed over the years with input by those working in the trenches, Silhouette runs like a well oiled machine. Using an entirely stereoscopic workflow, all capabilities of Silhouette, including its award winning rotoscoping, non-destructive paint, keying, matting, warping, morphing, and 2D-3D conversion tools are stereo enabled. Invaluable in post-production, Silhouette continues to bring best-of-class tools to the visual effects industry. ![]() ![]() The aspects to look out for in Silhouette plots are cluster scores below the average silhouette score, wide fluctuations in the size of the clusters, and also the thickness of the silhouette plot.The silhouette plots can be used to select the most optimal value of the K (no.The score of less than 0 means that data belonging to clusters may be wrong/incorrect. The score of 0 means that clusters are overlapping. The silhouette score of 1 means that the clusters are very dense and nicely separated.The silhouette score falls within the range.Silhouette score takes into consideration the intra-cluster distance between the sample and other data points within the same cluster ( a) and inter-cluster distance between the sample and the next nearest cluster ( b).Silhouette score for a set of sample data points is used to measure how dense and well-separated the clusters are.Here is the summary of what you learned in this post in relation to silhouette score concepts:
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |