Hybridization of K-means Clustering Using Different Distance Function to Find the Distance Among Datasetdoi:10.1007/978-981-15-7078-0_29Clustering using K -means algorithm is very common way to understand and analyze the obtained output data. This clustering is done by making a sample collection ...
[5], a small 5-ton excavator was the subject of a computer-based investigation aimed to find the optimum power train hybridization. This research analyzed the performance of the power train hybridization of a hydraulic excavator and compared the performances among the parallel, the series and [...
In recent years, DNA-based molecular ancillary tests, specifically comparative genomic hybridization and fluorescence in situ hybridization, have been developed to help guide the diagnosis of ambiguous melanocytic proliferations. This study will present an updated overview of these two major ancillary ...