Clustering was used to divide dryland farming areas in western Iran into homogeneoussub-regions to identify dryland farming potential, considering drought impacts. Clusteringutilized eight algorithms/four indices to detect optimal number of clusters. Ward’s algorithmvalidated by Silhouette index, produced the best result by detecting 7 dryland farming clusters.Based on similar P/ETo values, fou...

4 The k-mean alignment algorithm and the cluster_peak method 9 4.1 Definition of weight in the distance function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 4.2 The cluster_peak method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 4.3 The choice of the final classification with the bending index and the Silhouette plot . . . . . . ...

Artists have different parameters to, for example, colour scientists, for considering the quality of the finished image. An analysis of the work is based on an artist's conception of the work and a subjective assessment of print surface, colour and image quality, which although may appear to be based on the same criteria as a reproduction, the impact on the viewer is quite different. This prese...

Both three-dimensional (3D) and four-dimensional (4D) ultrasound have improved our knowledge regarding the develop ment of the embryo and fetus and of a great number of fetal anomalies. The great achievement in the field of 3D/4D ultrasound is HDlive technology. This technology is a novel ultrasound technique that improves the 3D/4D images. Furthermore, recent advanced 3D technology has produce...

In this paper, we present the Modified K-Means Clustering algorithm Analysis and performance, the clustering analysis can be used to partition the cluster data with number of choice clusters and perform each cluster if it can form properly or not and it can pertain by using the silhouette coefficient method. In this one the silhouette coefficient can apply on the group of author’s Hand G-indice...

Abstract: A new graphical display is proposed for partitioning techniques. Each cluster is represented by a so-called silhouette, which is based on the comparison of its tightness and separation. This silhouette shows which objects he well within their cluster, and which ones are merely somewhere in between clusters. The entire clustering is displayed by combining the silhouettes into a single ...

In this document we present additional results for the paper of Mattausch et al. [MIW13]. In particular, we compare silhouette computation methods used as input for the shadow editing algorithm, show some additional editing and animation examples, and show the effect of the ε parameter of the modified shadow volumes which takes a silhouette vertex so to so. 1 Silhouette Computation A comparison...

This paper presents an approach for recognizing urban scene in distant views. Previously, we have developed a method using dynamic programming technique to recognize key buildings appearing as silhouette in a distant view. Based on those locations of buildings in silhouette, this paper develops a method to find locations of other buildings which do not appear as silhouette in the image by using...

OBJECTIVES To compare pairs of silhouettes generated from presurgical and 5-year postsurgical cephalometric radiographs to evaluate whether orthodontists, oral surgeons, and lay persons perceive changes in profile resulting from orthodontics and mandibular advancement surgical treatment. MATERIALS AND METHODS A survey-based method of data collection was used to evaluate 15 pairs of silhouette...