This study presents a two-level clustering method utilizing a simplified greedy procedure to enhance data processing efficiency and accuracy, particularly with large high-dimensional datasets.The two-level structure allows for the identification of broad data groups in the first stage, followed by a funko wall-e grande more granular analysis within
Until the twentieth century, the heritage buildings were considered as museum pieces that stand alone without attention to the site around without benefiting from them to society, However, since the sixties of the last century, the global trend of preservation of the archaeological building has changed to the preservation of archeological sites, wh
Brandon W Ng,1 Namrata Nanavaty,1 Vani A Mathur1,2 1Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX 77843, USA; 2Texas A&M Institute for Neuroscience, Texas A&M University, College Station, TX 77843, USACorrespondence: Vani A MathurDepartment of Psychological and Brain Sciences, Texas A&M Un
Abstract Background In computational biology, permutation tests have become a widely used tool to assess the statistical significance of an event under investigation.However, the common way of computing the P-value, which expresses the statistical significance, requires a very large number of permutations when small (and thus interesting) P-values