Created
September 20, 2017 17:04
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Isomap algorithm demo
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require(RColorBrewer); require(igraph); set.seed(100) | |
make_spiral <- function(step,v,pts) { | |
x <- y <- c() | |
a <- b <- 1 | |
for(i in 1:pts){ | |
theta = step * i | |
x <- append(x, (a + b * theta) * cos(theta) + runif(1,-v,v)) | |
y <- append(y, (a + b * theta) * sin(theta) + runif(1,-v,v)) | |
} | |
color <- rainbow(pts * 1.2)[1:pts] | |
plot(y~x, pch=20, col=color, main= 'Spiral') | |
return(data.frame(x,y,color)) | |
} | |
nearest <- function(data,K){ | |
data <- as.matrix(dist(spiral[,1:2])) | |
out <- matrix(0, ncol = ncol(data), nrow = nrow(data), dimnames = list(rownames(data),rownames(data))) | |
for(i in 1:nrow(data)){ | |
neighbours <- as.integer(names(sort(data[i,])[2:K+1])) | |
out[i,neighbours] = 1 | |
} | |
return(out) | |
} | |
get_graph <- function(s){ | |
graph <- graph_from_adjacency_matrix(s, weighted =T, mode = 'undirected') | |
set_vertex_attr(graph, "label", value = 1:nrow(spiral)) | |
#plot(graph, vertex.size = 1, vertex.label = NA) | |
geo <- distances(graph, algorithm = 'dijkstra') | |
return(geo) | |
} | |
X = 1000 | |
spiral <- make_spiral(10/X,1,X) | |
text(spiral[1,1:2], label='A', pos =4) | |
text(spiral[1000,1:2], label='B', pos=3) | |
pc_spiral <- prcomp(spiral[,1:2]) | |
plot(data.frame(pc_spiral$x[,1],1), col = as.character(spiral$color),pch=20, | |
xlab='Principal Component 1', ylab='', yaxt= 'n', main='PCA of Spiral') | |
text(data.frame(pc_spiral$x[1,1],1), label='A', pos =3) | |
text(data.frame(pc_spiral$x[1000,1],1), label='B', pos =1) | |
nearest_neighbours <- nearest(spiral, 5) | |
g <- get_graph(nearest_neighbours) | |
md <- data.frame('scaled' = cmdscale(g,1), 'color' = spiral$color) | |
plot(data.frame(md$scaled,1), col = as.character(md$color), pch = 20, | |
xlab='Dimension 1', ylab='', yaxt= 'n', main='Isomap') | |
text(md$scaled[1],1, label='A', pos =3) | |
text(md$scaled[1000],1, label='B', pos =1) |
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