Spectral Graph Cut from a Filtering Point of View

Fuzzy sets form A meta-system-theoretic point of view

Spectral Surface Reconstruction from Noisy Point Clouds

1. Briefly summarize the paper’s contributions. Does it address a new problem? Does it present a new approach? Does it show new types of results?  [AS] This method presents a new approach to the problem of surface reconstruction from a noisy point cloud without requiring normal information. They introduce spectral methods for partitioning graphs into the problem surface reconstruction. Their a...

محاسبه Cut-off point مناسب برای آزمون ELISA جهت تشخیص بروسلوز انسانی در ایران

Background: Finding a reliable diagnostic method for brucellosis is the most challengeable problem. In this study we determined the optimal diagnostic cut-off point for ELISA test.Methods: We gathered 56 confirmed cases of brucellosis. Furthermore blood samples from 126 controls including 73 healthy controls and 53 without brucellosis febrile patients were collected. In all of the cases and con...

How to Choose the Number of Clusters: The Cramer Multiplicity Solution

Most of the data analysis of microarray gene expression data use a clustering algorithm, as a preprocessing step, in genomic functional analysis for example [6] or as the main discriminating tool, in the tumor classification study [9]. While from the experimenter point of view the simplest clustering method could be the best, it is acknowledged [8] that the reliability of allocation the units t...

A Random Walks View of Spectral Segmentation

We present a new view of clustering and segmentation by pairwise similarities. We interpret the similarities as edge ows in a Markov random walk and study the eigenvalues and eigenvectors of the walk's transition matrix. This view shows that spectral methods for clustering and segmentation have a probabilistic foundation. We prove that the Normalized Cut method arises naturally from our framewo...