similar to: [Bug 94817] New: Nearest neighbor scaling?

https://bugs.freedesktop.org/show_bug.cgi?id=104509 Bug ID: 104509 Summary: Unable to set "Content Type" bit for HDMI and DisplayPort Product: xorg Version: unspecified Hardware: All OS: Linux (All) Status: NEW Severity: normal Priority: medium Component:

Is fast nearest-neighbor functionality available in R? I was thinking of something along the lines of what's currently in S+SPATIALSTATS. Thanks for any information anyone might have on this. - MZ

Hello, is there an implementation available for a shared nearest neighbor (SNN) clustering algorithm? //Jay

Dear R users, Is there anyone who is aware of a R or S package that has Discriminant Adaptive Nearest Neighbor (DANN) classification by Hastie and Tibshirani? I have used the search services in R website but no luck. Thanks in advance! Jonathan -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hello everyone, Is there anyone who is aware of any R package that has Discriminant Adaptive Nearest Neighbor (DANN) classification by Hastie and Tibshirani? Thanks in advance! Tracy [[alternative HTML version deleted]]

Hi there fellow R-users, Does anyone know if there is a package for k nearest neighbours prediction as opposed to classification? I have found the package knncat but can't see a way to adjust it to predict a continuous variable. Any help would be great, Regards Wayne Jones KSS Ltd Seventh Floor St James's Buildings 79 Oxford Street Manchester M1 6SS England Company

I've written the function below to simulate the mean 1st through nth nearest neighbor distances for a random spatial pattern using the functions nndist() and runifpoint() from spatsat. It works, but runs relatively slowly - would appreciate suggestions on how to speed up this function. Thanks. --Dale library(spatstat) sim.nth.mdist <- function(nth,nsim) { D <- matrix(ncol=nth,

Several of the methods I use for analyzing large data sets, such as WinGamma: determining the level of noise in data Relief-F: estimating the influence of variables depend on finding the k nearest neighbors of a point in a data frame or matrix efficiently. (For large data sets it is not feasible to compute the 'dist' matrix anyway.) Seeing the proposed solution to "[R] distance

Dear All, I cannot find a solution to the following problem although I imagine that it is a classic, hence my email. I have a vector V of X values comprised between 1 and N. I would like to get random samples of X values also comprised between 1 and N, but the important point is: * I would like to keep the same distribution of distances between the X values * For example let's say N=10 and

https://bugs.freedesktop.org/show_bug.cgi?id=94844 Bug ID: 94844 Summary: Ditching xf86-video-nouveau in favor of xf86-video-modesetting? Product: xorg Version: unspecified Hardware: All OS: All Status: NEW Severity: normal Priority: medium Component: Driver/nouveau

Is there an implementation of a reasonable k-nearest neighbor finder already in one of the packages? -- +---------------------------------------------------------------------------+ | Robert Gentleman phone : (617) 632-5250 | | Associate Professor fax: (617) 632-2444 | | Department of Biostatistics office: not yet

I was wondering if there is a way in R to find k nearest neighbors of various orders, say order 2, 3, or 4. In otherwords neighbors of neighbors of neighbors. You get the idea. I know that I can use knearneigh(matrix.data, k) but this only gives me the k nearest neighbors and not of a particular order. Thanks in advance. -- View this message in context:

To route a subnet in ipv6 there are two possibilities: - add route commands for the subnet in each computer - or use neighbor proxy in the router server I prefer neighbor proxy. So I have to activate neighbor proxy in the router: sysctl -w net.ipv6.conf.all.proxy_ndp=1 and I have to add entries for each client in the subnet like ip -6 neigh add proxy

hi, I have a dataset (the netflix dataset) which is basically ~18k columns and well variable number of rows but let's assume 25 thousand for now. The dataset is very sparse. I was wondering how to do kmeans/nearest neighbors or kernel density estimation on it. I tired using the spMatrix function in "Matrix" package. I think I'm able to create the matrix but as soon as I pass

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Hi. Neighbor has sent you a greeting ecard. See your card as often as you wish during the next 15 days. SEEING YOUR CARD If your email software creates links to Web pages, click on your card's direct www address below while you are connected to the Internet: http://81.235.218.184/?ee7c634591933434671c16a2e59b1 Or copy and paste it into your browser's "Location" box (where

https://bugzilla.mindrot.org/show_bug.cgi?id=3179 Bug ID: 3179 Summary: sshd bind function and IPv6 neighbor discovery Product: Portable OpenSSH Version: 8.2p1 Hardware: ARM64 OS: Linux Status: NEW Severity: normal Priority: P5 Component: sshd Assignee: unassigned-bugs at

Anyobody knows if functions neighbor.grid and spatial.weights (from module spatial) have any 'equivalents' in R ? Thanks. JA -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the

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Good day. Your neighbor has sent you a greeting postcard from greet2k.com. Send free ecards from greet2k.com with your choice of colors, words and music. Your ecard will be available with us for the next 30 days. If you wish to keep the ecard longer, you may save it on your computer or take a print. To view your ecard, choose from any of the following options: -------- OPTION 1 --------