In this paper, we propose an online clustering method called Contrastive Clustering (CC) which explicitly performs the instance- and cluster-level contrastive learning. To be specific, for a given dataset, positive negative instance pairs are constructed through data augmentations then projected into feature space. Therein, learning respectively conducted in row column space by maximizing simil...

background: liver cirrhosis was one of the most important liver diseases. other chronic liver diseases could be lead to liver cirrhosis. liver cirrhosis could be lead one kind of liver cancers named hepatocellular carcinoma. cirrhosis in the early stages just by laboratory and imaging testes could be diagnosed. in this study cirrhotic patients were classified based on laboratory symptoms. for t...

one of the main features of high throughput computing systems is the availability of high power processing resources. cloud computing systems can offer these features through concepts like pay-per-use and quality of service (qos) over the internet. many applications in cloud computing are represented by workflows. quality of service is one of the most important challenges in the context of sche...

One of the most important aspects of software project management is the estimation of cost and time required for running information system. Therefore, software managers try to carry estimation based on behavior, properties, and project restrictions. Software cost estimation refers to the process of development requirement prediction of software system. Various kinds of effort estimation patter...

Stochastic nature of earthquake has raised a challenge for engineers to choose which record for their analyses. Clustering is offered as a solution for such a data mining problem to automatically distinguish between ground motion records based on similarities in the corresponding seismic attributes. The present work formulates an optimization problem to seek for the best clustering measures. In...

Permeability, the ability of rocks to flow hydrocarbons, is directly determined from core. Due to high cost associated with coring, many techniques have been suggested to predict permeability from the easy-to-obtain and frequent properties of reservoirs such as log derived porosity. This study was carried out to put clustering methods (dynamic clustering (DC), ascending hierarchical clustering ...