similar to: Help regarding kmeans output. need to save the clusters into different directories/folders.

Dear members. I am having problems to understand the kmeans- results in R. I am applying kmeans-algorithms to my big data file, and it is producing the results of the clusters. Q1) Does anybody knows how to find out in which cluster (I have fixed numberofclusters = 5 ) which data have been used? COMMAND (kmeans.results <- kmeans(mydata,centers =5, iter.max= 1000, nstart =10000)) Q2) When I

I'm only doing one frame using speex_encode_int greatly simplifies my code I'm not sure why the sample I was working off of was converting the shorts to floats then calling the other encode/decode methods. Based off of your suggestions I tried the following but I get the same result. virtual Enigma::u8* Encode(Enigma::u8* inputBuffer,size_t inputSize, size_t& outputSize) {

Alright noted, I changed me code so that the state is created in the constructor and destroyed in the destructor of the object. However I'm still getting the same issue although I'm sure that would have bit me sooner or later. The new code is as follows. virtual Enigma::u8* Encode(Enigma::u8* inputBuffer,size_t inputSize, size_t& outputSize) { short *in=(short*)inputBuffer;

The way I do this is to compute the number of frames (by dividing the size of my input by the number of bytes per frame and then calling speex_encode_int() that many times. Something like speex_bits_reset( &bits ); for( n = 0; n < num_frames; ++n ) { speex_encode_int( enc_state, (int16_t*)input_tail,

Hi. I am trying to modify kmeans function. It seems that is failing something obvious with the workspace. I am a newbie and here is my code: myk = function (x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", + "Lloyd", "Forgy", "MacQueen")) + { + do_one <- function(nmeth) { + Z <- switch(nmeth, { + Z