| peakCMeans {geneExpression} | R Documentation |
<br /> This function performs clustering analysis of time course data
peakCMeans(matrix,
nsize = "3,3",
threshold = 10,
fuzzification = 2,
plotSize = "8100,5200",
colorSet = "Jet",
memberCutoff = 0.8,
empty.shared = 2,
max.cluster.shared = 3,
xlab = "Spatial Regions",
ylab = "z-score(Normalized Intensity)",
top.members = 0.2,
margin = "padding:100px 100px 300px 100px;",
cluster.label.css = "font-style: normal; font-size: 20; font-family: Bookman Old Style;",
legend.title.css = "font-style: normal; font-size: 10; font-family: Microsoft YaHei;",
legend.tick.css = "font-style: normal; font-size: 10; font-family: Microsoft YaHei;",
axis.tick.css = "font-style: normal; font-size: 12; font-family: Segoe UI;",
axis.label.css = "font-style: normal; font-size: 10; font-family: Microsoft YaHei;",
grid.fill = "LightGray",
grid.draw = TRUE,
x.lab.rotate = 45);
this function returns a tuple list that contains the pattern cluster matrix and the cmeans pattern plots.
'pattern' is a vector of the EntityClusterModel data that contains the object cluster patterns
'image' is a bitmap image that plot based on the object cluster patterns data.
'pdf' is a pdf image that could be edit
'cmeans' is the raw ExpressionPattern object of the cmeans clustering result
NULL will be returns if the given expression matrix is empty.