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Calculate the initial similarity matrix
SimS( data, pcRatio = 0.95, gamma = 0.8, NN.method = "KNN", Dis.method = "Euclidean", LSH.TreeNum = 30, LSH.Dim = 1000, LSH.Dis = "angular", neiRatio = 0.65 )
gene expression matrix after genes filtering
the ratio between the variance of the
the ratio of the global simialrity
the method of finding neighbors
the distance metric in finding neighbors
the tree number of LSH
the dimension in LSH
the distance metric in LSH
ratio of the number of selected
initial similarity matrix S
gene expression matrix after PCA processing drData
# NOT RUN { gfData <- GenesFilter(yan[1:100,1:15]) res_Sims <- SimS(gfData) res_Sims$S res_Sims$res_pca # }
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