A research team analyzed 51,030 inpatient surgical cases from six different surgical departments at four large tertiary hospitals in China to develop a system for grading, cluster visualization, and ...
When examining datasets of any dimensionality, researchers frequently aim to identify individual subsets (clusters) of objects within the dataset. The ubiquity of multidimensional data has motivated ...
Most tools developed to visualize hierarchically clustered heatmaps generate static images. Clustergrammer is a web-based visualization tool with interactive features such as: zooming, panning, ...
Enterprise application (EA) architects often face challenges in designing scalable applications that can accommodate a growing number of users and provide 24/7 availability. In this article, I'll ...
Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...
Professor Xiaochu Yu from Peking Union Medical College Hospital and Professor Jingmei Jiang from the School of Basic Medicine, Peking Union Medical College recently published their research results in ...
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