Created
April 19, 2015 18:04
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hwk12 2.rmd
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2. | |
```{r} | |
#make matrices | |
set.seed(693) | |
A <- matrix(ceiling(runif(4, min=100, max=999)), nrow=2, ncol=2) | |
B <- matrix(ceiling(runif(4, min=-9, max=9)), nrow=2, ncol=2) | |
C <- matrix(ceiling(-runif(4, min=100, max=999)), nrow=2, ncol=2) | |
Z <- matrix(0, nrow=2, ncol=2) | |
M <- rbind(cbind(Z,Z,A), cbind(Z,B,Z), cbind(C,Z,Z)) | |
M | |
``` | |
a. While U and V have the same dimensions of M, the nonzero values do not follow the same pattern as M and so it is hard to associate certain groups of movies with certain groups of people. | |
```{r} | |
M.svd <- svd(M) | |
M.svd$u | |
M.svd$v | |
M.svd$d | |
``` | |
b. As shown below, the $M_k$ matrix begins to look like M at k=5. Before that, the middle set of values is missing. | |
```{r} | |
genMs <- function(M) { | |
M.svd <- svd(M) | |
M.j <- lapply(1:ncol(S), function(j) diag(M.svd$d)[j,j] * (M.svd$u[,j] %*% t(M.svd$v[,j]))) | |
sums <- Reduce("+",M.j, accumulate=TRUE) | |
return(sums) | |
} | |
genMs(M=M) | |
``` |
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