search for: fcm

...experiments within the main experiment. I would like to draw a bar plot showing the number and type of sub_experiments done for each main_exp. For instance if the Main_Exp is 6, I would like to group the sub exp's for the main_exp and show that there were two sub_exp's done an ELISA and a FCM and that the ELISA was done once and the FCM was done twice. Similarly for Main_Exp 7 I would like to show that for there were ELISA,FCM,qPCR,Telometry done and that they had a count of 3,3,2,5 respectively. This is what my dataset looks like: Main_Exp_Name Sub_Exp_Name Sub_Exp_Count 1...

...many sub experiments within the main experiment. I would like to draw a bar plot showing the number of sub_experiments done for each main_exp. For instance if the Main_Exp is 6, I would like to group the sub exp's for the main_exp and show that there were two sub_exp's done an ELISA and a FCM and that the ELISA was done once and the FCM was done twice. Similarly for Main_Exp 7 I would like to show that for there were ELISA,FCM,qPCR,Telometry done and that they had a count of 3,3,2,5 respectively. This is what my dataset looks like: Task Datatype Count 1...

...at netfilter.org Reporter: tim at muppetz.com Created attachment 739 --> https://bugzilla.netfilter.org/attachment.cgi?id=739&action=edit Session where Conntrack Changed to 300 Kernel: 6.6.21 I have a TCP flow between an Android Phone and Google's Firebase Cloud Messaging (FCM). FCM uses TCP port 5228 and is a very low traffic connection, it can be anywhere up to 28 minutes before a keepalive packet goes via it. It is used for push messaging (and probably a lot of other things too) Firstly, I have Flowtable Disabled: When I watch the FCM flow in conntrack as such: w...

...es are enumerated below. 1. Where is the 'm' parameter in FANNY? In _Finding Groups in Data: An Introduction to Cluster Analysis_ (1990) by Kaufman & Rousseeuw, the authors discuss the FANNY algorithm. On pages 189-190, they attempt to demonstrate an equivalence between Fuzzy c-Means (FCM) and FANNY. In doing so they, appear to be assuming that the value of the 'm' parameter in FCM (a measure of the fuzziness) is fixed at m=2. Although this is how FCM was originally formulated, it eventually became apparent that m should be a user-specified parameter and not a fixed value of...

...17)(18)(19)(20)Erro r in bclust(iris[, 1:4], 3, base.centers = 20, iter.base = 100, base.method = "cmeans") : Could not find valid cluster solution in 20 replications I can't get any valid result with many parameter adjustments, such as iter.base, base.centers etc. But I think fcm should return similar result just like k-means (e.g. centers, cluster size) plus fuzzy membership information. Can anyone explain this for me? Besides, I'm not quite understand the meaning of "bootstrap". In my view, it might means "independent", am I correct? Thank you very...

...17)(18)(19)(20)Erro r in bclust(iris[, 1:4], 3, base.centers = 20, iter.base = 100, base.method = "cmeans") : Could not find valid cluster solution in 20 replications I can't get any valid result with many parameter adjustments, such as iter.base, base.centers etc. But I think fcm should return similar result just like k-means (e.g. centers, cluster size) plus fuzzy membership information. Can anyone explain this for me? Besides, I'm not quite understand the meaning of "bootstrap". In my view, it might means "independent", am I correct? Thank you very...

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