The affinity propagation (AP) clustering algorithm has received a lot of attention over the past few years. AP is efficient and insensitive to initialization, generates results with lower error in less time. However, there are still two key limitations: AP-related algorithms cannot identify outliers clusters. And they usually not ideal for processing nonlinear data. To address above issues, we ...

Abstract Purpose B-mode ultrasound images are used in identifying the presence of fat deposit if any carotid artery. The intima media, lumen, bifurcation boundary is detected by echogenic characteristics embedded Methods A fully automatic self-learning based segmentation proposed extracting edges a modified affinity propagation, which given as inputs to Density Based Spatial Clustering Applicat...

background: among diverse protein purification systems, affinity chromatography is the most attractive one in the purification process of coagulation factors. coagulation factor vii is a plasma serine protease that has a significant role in natural human hemostasis and its recombinant form such as aryoseventm, has been applied in clinical treatment of bleeding disorders. immunoaffinity chromato...

In this project, I choose the paper, Clustering by Passing Messages Between Data Points [1], published in Science 2007, as the work to replicate. In [1], a new clustering algorithm named Affinity Propagation is proposed. In my report, three research hypothesizes in this paper that are related to the performance, evaluation and scalability of the algorithm are studied. I implement the algorithm ...