search for: jiliguala

hi, r users i have a problem with KNN. i have 2 datasets, X0 and X1. >dim(X0) >1471*13 dim(X1) >5221*13 and for every instances in the dataset X1, i want to find the nearest neighbour(1nn) in the dataset X0. and i dont have the true classifications of dataset X1. but the function knn() need true classifications(cl) to do prediction. i just curious if there are some other function

hi, R users i have encountered a problem, i want to make a clusterring tree, than do the searching through the tree using "branch and bound" method. here is the code to make the tree, thanks for any ideas... d <- dist(data, method = "euclidean") h1 <- hclust(d, method="ward") plot(h1) mark -- View this message in context:

hi, R users here is my problem, i want to make a clusterring tree, than do the searching through the tree using branch and bound method. the code to make the tree, but i dont know how to do the searching part. thanks for any helping... d <- dist(data, method = "euclidean") h1 <- hclust(d, method="ward") str(h1) plot(h1) mark -- View this message in context: