Reducing the order of higher order systems by mixed approach is Improved Pade-Pole clustering based method to derive a reduced order approximation for a stable continuous time system is presented. In this method, the denominator polynomial of the reduced order model is derive by improved pole-clustering approach and the numerator polynomial are obtain through Padé approximation technique and by...

Segmentation, Unsupervised clustering, Mean shift, Cardiac images, Human heart, Left ventricle. In this paper an image segmentation scheme that is based on combinations of a nonparametric technique and a seed based clustering algorithm is reported. The method has been applied to clinical unsubtracted angiograms of the human heart. The first step of the method consists in applying a mean shiftba...

Missing value imputation is one of the biggest tasks of data pre-processing when performing data mining. Most medical datasets are usually incomplete. Simply removing the cases from the original datasets can bring more problems than solutions. A suitable method for missing value imputation can help to produce good quality datasets for better analysing clinical trials. In this paper we explore t...

Clustering analysis is an effective method to discover and identify tumor classes. So, this paper proposes a Fuzzy C-Means clustering (FCM) algorithm based on Non-negative matrix factorization (NMF). Firstly, gene expression profiling (GEP) is simply processed through mean and variance of gene expression, which can then be mapped into a low dimensional space by NMF method. Finally, for discover...

Image Segmentation is dividing the image into the segments. There are various algorithms available for segmentation but clustering approach is considered to be best. The study shows that there are various gaps which are not covered by the researchers so an improved approach towards image segmentation using mean shift and FELICM has been proposed. HSV color space is considered to be better appro...