stab.fs(genefu)
stab.fs()所属R语言包：genefu
Function to quantify stability of feature selection.
功能量化特征选择的稳定性。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function computes several indexes to quantify feature selection stability. This is usually estimated through perturbation of the original dataset by generating multiple sets of selected features.
此函数计算几个指标量化特征选择稳定。这通常是通过产生所选功能的多套原始数据集的扰动估计。
用法----------Usage----------
stab.fs(fsets, N, method = c("kuncheva", "davis"), ...)
参数----------Arguments----------
参数：fsets
list of sets of selected features, each set of selected features may have different size
列表中选定的功能集，每一组选定的功能可能有不同的大小
参数：N
total number of features on which feature selection is performed
总数上进行功能选择功能
参数：method
stability index (see details section)
稳定指数（见细节部分）
参数：...
additional parameters passed to stability index (penalty that is a numeric for Davis' stability index, see details section)
额外的参数传递到稳定指数（penalty这是一个戴维斯稳定性指数的数字，看到细节部分）
Details
详情----------Details----------
Stability indices may use different parameters. In this version only the Davis index requires an additional parameter that is penalty, a numeric value used as penalty term.
稳定指数可能会使用不同的参数。在这个版本中，只有戴维斯指数需要一个额外的参数，是penalty，作为惩罚项的数值。
Kuncheva index (kuncheva) lays in [-1, 1], An index of -1 means no intersection between sets of selected features, +1 means that all the same features are always selected and 0 is the expected stability of a random feature selection.
kuncheva指数（kuncheva）在[-1，1]的规定，指数为-1意味着没有选定的功能，+1指集之间的交叉点，所有相同的功能，总是选择和0是预期的稳定一个随机的特征选择。
Davis index (davis) lays in [0,1], With a pnalty term equal to 0, an index of 0 means no intersection between sets of selected features and +1 means that all the same features are always selected. A penalty of 1 is usually used so that a feature selection performed with no or all features has a Davis stability index equals to 0. None estimate of the expected Davis stability index of a random feature selection was published.
戴维斯指数（davis）规定，随着pnalty术语等于0，索引为0意味着没有选择功能+1意味着所有相同的功能总是选择集之间的交集，在[0,1]。罚款1通常用来使任何或所有功能进行特征选择戴维斯稳定性指数等于0。没有发表戴维斯预期的随机特征选择的稳定性指数的估计。
值----------Value----------
A numeric that is the stability index
一个数字是稳定指数
作者（S）----------Author(s)----------
Benjamin Haibe-Kains
参考文献----------References----------
参见----------See Also----------
stab.fs.ranking
stab.fs.ranking
举例----------Examples----------
set.seed(54321)
## 100 random selection of 50 features from a set of 10,000 features[＃100随机选择50功能，一套10000特征]
fsets <- lapply(as.list(1:100), function(x, size=50, N=10000) {
return(sample(1:N, size, replace=FALSE))} )
names(fsets) <- paste("fsel", 1:length(fsets), sep=".")
## Kuncheva index[＃Kuncheva指数]
stab.fs(fsets=fsets, N=10000, method="kuncheva")
## close to 0 as expected for a random feature selection[＃0为一个随机的特征选择的预期]
## Davis index[＃戴维斯指数]
stab.fs(fsets=fsets, N=10000, method="davis", penalty=1)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-2-25 18:52:57
