Analyses of targeted genomic sequencing data from next-generation-sequencing (NGS) technologies typically involves mapping reads to a reference sequence or clustering reads. For a number of species a reference genome is not available so the analyses of targeted sequencing data, for example polymorphic structural variation caused by mobile elements is difficult; clustering methods are preferred ...

The performances of semisupervised clustering for unlabeled data are often superior to those unsupervised learning, which indicates that semantic information attached clusters can significantly improve feature representation capability. In a graph convolutional network (GCN), each node contains about itself and its neighbors is beneficial common unique features among samples. Combining these fi...

Education is one of the means to create and improve quality better human resources. This expected welfare. Based on data from Ministry Culture, there are 4 sub-districts in Karawang Regency that do not have state high schools. can result difficulties for students who financial deficiencies which ultimately lead dropping out school. Then apart distance also be an obstacle. The purpose this study...

Abstract Clustering algorithms are commonly used for inspecting the behavior of clouds in both model and satellite data sets. Often overlooked cluster analysis is variability that occurs within any clusters generated. This particularly important geophysics where often generated with a focus on interpretability over mathematical optimization. Two metrics, Davies‐Bouldin index subsom entropy, to ...

Using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model to obtain backward trajectories and then conduct clustering analysis is a common method analyze potential sources transmission paths of atmospheric particulate pollutants. Taking Qingdao (N36 E120) as an example, global data assimilation system (GDAS 1°) days from 2015 2018 provided by National Centers for Environ...

Multispectral imaging is an important technique for improving the readability of written or printed text where the letters have faded, either due to deliberate erasing or simply due to the ravages of time. Often the text can be read simply by looking at individual wavelengths, but in some cases the images need further enhancement to maximise the chances of reading the text. There are many possi...

in this study the land surface in western half of hyper-arid lut desert, in south east of iran, which is covered by yardangs, a worldwide typical landform for aeolian erosion, were classified by self organizing maps (som) method. in the first step by using digital elevation model with 10 m resolution and matlab software, 22 morphometric parameters were calculated based on derivative of the surf...

Purpose Customer differences and similarities play a crucial role in service operations, industries need to develop various strategies for different customer types. This study aims understand the behavioral pattern of customers banking industry by proposing hybrid data mining approach with rule extraction operation benchmarking. Design/methodology/approach The authors analyze identify best usin...

The transition from the current energy architecture to a new model is evident and inevitable. coming future promises innovative increasingly rigorous projects challenges for everyone involved in this value chain. Technological developments have allowed emergence of concepts, such as renewable communities, decentralized production, even storage. These factors incited consumers play more active r...