Regional Clustering Based On HDI Components In Indonesia

Choosing the Best Hierarchical Clustering Technique Based on Principal Components Analysis for Suspended Sediment Load Estimation

1- INTRODUCTION The assessment of watershed sediment load is necessary for controling soil erosion and reducing the potential of sediment production. Different estimates of sediment amounts along with the lack of long-term measurements limits the accessibility to reliable data series of erosion rate and sediment yield. Therefore, the observed data of suspended sediment load could be used to ...

Regional appearance modeling based on the clustering of intensity profiles

Model-based image segmentation is a popular approach for the segmentation of anatomical structures from medical images because it includes prior knowledge about the shape and appearance of structures of interest. This paper focuses on the formulation of a novel appearance prior that can cope with large variability between subjects, for instance due to the presence of pathologies. Instead of rel...

Regional Dimensions of Monetary Policy in Indonesia

Distance based Clustering of Software Design Components

Clustering plays an important role during retrieval of software components intended for reuse. There are so many clustering techniques available. Much of these techniques have been implemented on code. We are discussing here a technique that deals with the design components. This is a UML based technique that uses the design components. It is a feature based technique that is the features of th...

A new ensemble clustering method based on fuzzy cmeans clustering while maintaining diversity in ensemble

An ensemble clustering has been considered as one of the research approaches in data mining, pattern recognition, machine learning and artificial intelligence over the last decade. In clustering, the combination first produces several bases clustering, and then, for their aggregation, a function is used to create a final cluster that is as similar as possible to all the cluster bundles. The inp...