A novel and fast shape classification and regularization algorithm for on-line sketchy graphics recognition is proposed. We divided the on-line graphics recognition process into f...
Xiangyu Jin, Liu Wenyin, Jianyong Sun, Zhengxing S...
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
Many technical imaging applications, like coding "images" of digital elevation maps, require extracting regions of compressed images in which the pixel values are within...
— Nowadays wireless mesh routers are facilitating with more wireless channels than ever because of the advanced wireless communication technologies such as OFDM, SDR and CR(cogni...
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...