05 2016 档案

摘要:dplyr and data.table are amazing packages that make data manipulation in R fun. Both packages have their strengths. While dplyr is more elegant and re 阅读全文
posted @ 2016-05-19 11:38 payton数据之旅 阅读(261) 评论(0) 推荐(0) 编辑
摘要:We use network visualizations to look into the voting patterns in the current German parliament. I downloaded the data here and all figures can be rep 阅读全文
posted @ 2016-05-19 11:33 payton数据之旅 阅读(242) 评论(0) 推荐(0) 编辑
摘要:In this note, we discuss principal components regression and some of the issues with it: The need for scaling. The need for pruning. The lack of “y-aw 阅读全文
posted @ 2016-05-18 10:31 payton数据之旅 阅读(398) 评论(0) 推荐(0) 编辑
摘要:FCM 0.001 && (iter 1) { minJ = 0 i = 2 while (i lim && step 0) n.misclass = length(i.misclass) f.misclass = n.misclass/length(dat$class) } # 同一数据,使用 kmeans 聚类 kmea... 阅读全文
posted @ 2016-05-13 23:21 payton数据之旅 阅读(2742) 评论(0) 推荐(0) 编辑
摘要:INTRODUCTION GPUs (Graphic Processing Units) have become much more popular in recent years for computationally intensive calculations. Despite these g 阅读全文
posted @ 2016-05-06 11:48 payton数据之旅 阅读(894) 评论(0) 推荐(0) 编辑

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