Hi, there: I am wondering what packages are available in R which can do "outlier detection" in large-scale dataset. Thanks for sharing info, weiwei
Weiwei Shi, Ph.D "Did you always know?" "No, I did not. But I believed..." ---Matrix III
outlier detection
3 messages · Wensui Liu, Weiwei Shi
Random forest can do the job. HTH.
On 8/3/05, Weiwei Shi <helprhelp at gmail.com> wrote:
Hi, there: I am wondering what packages are available in R which can do "outlier detection" in large-scale dataset. Thanks for sharing info, weiwei -- Weiwei Shi, Ph.D "Did you always know?" "No, I did not. But I believed..." ---Matrix III
______________________________________________ R-help at stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
WenSui Liu, MS MA Senior Decision Support Analyst Division of Health Policy and Clinical Effectiveness Cincinnati Children Hospital Medical Center
Thanks. I knew rf based on proximity can detect the outlier but when the data size goes to 1 million and the features go around 200, I guess I probably do not have enough memory to proceed. Do u have some experience of outlier detection in this kind of data size? regards, weiwei
On 8/3/05, Wensui Liu <liuwensui at gmail.com> wrote:
Random forest can do the job. HTH. On 8/3/05, Weiwei Shi <helprhelp at gmail.com> wrote:
Hi, there: I am wondering what packages are available in R which can do "outlier detection" in large-scale dataset. Thanks for sharing info, weiwei -- Weiwei Shi, Ph.D "Did you always know?" "No, I did not. But I believed..." ---Matrix III
______________________________________________ R-help at stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
-- WenSui Liu, MS MA Senior Decision Support Analyst Division of Health Policy and Clinical Effectiveness Cincinnati Children Hospital Medical Center
Weiwei Shi, Ph.D "Did you always know?" "No, I did not. But I believed..." ---Matrix III