Description Usage Arguments Value Examples
Algorithm proposed by: He, Z., Xu, X., Huang, J. Z., Deng, S.: FP-Outlier: Frequent Pattern Based Outlier Detection. Computer Science and Information Systems, Vol. 2, No. 1, 103-118. (2005)
1 |
data |
|
minSupport |
minimum support for FPM |
mlen |
maximum length of frequent itemsets |
noCores |
number of cores for parallel computation |
model output (list) with all results including outlier scores
1 2 3 4 | library("fpmoutliers")
dataFrame <- read.csv(
system.file("extdata", "fp-outlier-customer-data.csv", package = "fpmoutliers"))
model <- FPOF(dataFrame, minSupport = 0.001)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.