我知道这是PCA的一个常见错误,但我查看了所提供的解决方案并且无法正常工作。
我跟着: Error in svd(x, nu = 0) : 0 extent dimensions
以下是我的代码摘录:
require(class)
set.seed(2095)
# dataset source:https://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html
normalize<-function(x) {
return ((x - min(x)) / (max(x) - min(x)))
}
dataset <- read.csv("data/kdd_data_10pc.csv", header = FALSE, sep = ",")
names <- read.csv("data/kdd_names.csv", header = FALSE , sep = ";")
names(dataset) <- sapply((1:nrow(names)),function(i) toString(names[i, 1]))
# extracting relevant features
dataset_extracted <- dataset[, c("src_bytes", "dest_bytes", "count", "dst_host_count", "dst_host_same_srv_rate", "dst_host_serror_rate", "label")]
head(dataset_extracted, 3)
log.kdd <-log(dataset_extracted[, 1:6])
kdd.label <- dataset_extracted[, 7]
kdd.pca <-prcomp(log.kdd,
center = TRUE,
scale. = TRUE)
摘要(数据集)输出如下:
summary(dataset_extracted)
src_bytes dest_bytes count dst_host_count dst_host_same_srv_rate dst_host_serror_rate label
Min. : 0 Min. : 0 Min. : 0.0 Min. : 0.0 Min. :0.0000 Min. :0.0000 smurf. :280790
1st Qu.: 45 1st Qu.: 0 1st Qu.:117.0 1st Qu.:255.0 1st Qu.:0.4100 1st Qu.:0.0000 neptune.:107201
Median : 520 Median : 0 Median :510.0 Median :255.0 Median :1.0000 Median :0.0000 normal. : 97278
Mean : 3026 Mean : 869 Mean :332.3 Mean :232.5 Mean :0.7538 Mean :0.1768 back. : 2203
3rd Qu.: 1032 3rd Qu.: 0 3rd Qu.:511.0 3rd Qu.:255.0 3rd Qu.:1.0000 3rd Qu.:0.0000 satan. : 1589
Max. :693375640 Max. :5155468 Max. :511.0 Max. :255.0 Max. :1.0000 Max. :1.0000 ipsweep.: 1247
(Other) : 3713
根据摘要,没有提取的列最小值为任何负值。
我是机器学习的新手。感谢所提供的任何帮助。显示的确切错误是
Error in svd(x, nu = 0) : infinite or missing values in 'x'
答案 0 :(得分:1)
将日志转换应用于包含零值的对象(SELECT * FROM Attendance WHERE MONTH(Date) = 12 AND YEAR(Date) = 2016
)。这将产生负无穷大的元素。请尝试使用dataset
。
另外,请不要忘记在函数log1p()
中应用您编码的标准化。
另外,鉴于某些异常值的大小,我不确定对数转换是否足够 - 您可能需要考虑排除某些观察结果。