Nothing
#-------------------------------------------------------------------------------------------------#
# external measures constant values
dt.sim.ind.const = 1
optas.sim.ind.const = 2
rand.const = 3
jaccard.const = 4
supp.cls.stab.sim.ind.vec.const = c("dot.pr", "sim.ind", "rand", "jaccard")
cls.stab.names.const = list(
dot.product = "Cluster stability - dot product",
opt.assgn = "Cluster stability - optimal assignment",
rand.ind = "Cluster stability - Rand index",
rand.ind = "Cluster stability - Jaccard index"
)
# cluster methods constant values
agnes.num.const = 1
diana.num.const = 2
#mona.num.const = 3
hclust.num.const = 3
kmeans.num.const = 4
pam.num.const = 5
clara.num.const = 6
#model.num.const = 8
#sota.num.const = 9
supp.cls.methods.list.const = list(
list(
num = agnes.num.const,
alg = agnes.clust,
wrp = agnes.wrap,
hrr = TRUE,
sup = TRUE
),
list(
num = diana.num.const,
alg = diana.clust,
wrp = diana.wrap,
hrr = TRUE,
sup = TRUE
),
# list(
# num = mona.num.const,
# alg = mona.clust,
# wrp = mona.wrap,
# hrr = TRUE,
# sup = FALSE
# ),
list(
num = hclust.num.const,
alg = hclust.clust,
wrp = hclust.wrap,
hrr = TRUE,
sup = TRUE
),
list(
num = kmeans.num.const,
alg = kmeans.clust,
wrp = kmeans.wrap,
hrr = FALSE,
sup = TRUE
),
list(
num = pam.num.const,
alg = pam.clust,
wrp = pam.wrap,
hrr = FALSE,
sup = TRUE
),
list(
num = clara.num.const,
alg = clara.clust,
wrp = clara.wrap,
hrr = FALSE,
sup = TRUE
# ),
# list(
# num = model.num.const,
# alg = FALSE, #model.clust,
# wrp = FALSE, # model.wrap,
# hrr = FALSE,
# sup = FALSE
# ),
# list(
# num = sota.num.const,
# alg = FALSE, #sota.clust,
# wrp = FALSE, #sota.wrap
# hrr = FALSE,
# sup = FALSE
)
)
#supp.cls.methods.alg.const = list( agnes.clust, diana.clust, mona.clust, hclust.clust,
# kmeans.num.const, pam.num.const, clara.num.const, model.num.const, sota.num.const )
supp.cls.methods.vec.const = c("agnes", "diana", "hclust", "kmeans", "pam", "clara")
# agnes/hclust cluster method constant values
single.num.const = 1
average.num.const = 2
complete.num.const = 3
ward.num.const = 4
weighted.num.const = 5
hierarhical.method.types.vec.const = c("single", "average", "complete", "ward", "weighted")
#-------------------------------------------------------------------------------------------------#
# classification/prediction algorithms constants
knn.num.const = 1
pred.method.types.vec.const = c("knn")
supp.pred.methods.list.const = list(
list(
num = knn.num.const,
alg = knn.pred,
sup = TRUE
)
)
#-------------------------------------------------------------------------------------------------#
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.