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inst/doc/notesCHAC.R
In adjclust: Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix
## ----ex-sim, eval=FALSE-------------------------------------------------------
# fit <- adjClust(k, type = "similarity")
## ----ex-sim2, eval=FALSE------------------------------------------------------
# fit <- adjClust(k, type = "similarity", h = h)
## ----ex-dissim, eval=FALSE----------------------------------------------------
# fit <- adjClust(d, type = "dissimilarity")
## ----ex-dissim-sparse, eval=FALSE---------------------------------------------
# fit <- adjClust(d, type = "dissimilarity", h = h)
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adjclust documentation built on April 28, 2023, 1:10 a.m.
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## ----ex-sim, eval=FALSE-------------------------------------------------------
# fit <- adjClust(k, type = "similarity")
## ----ex-sim2, eval=FALSE------------------------------------------------------
# fit <- adjClust(k, type = "similarity", h = h)
## ----ex-dissim, eval=FALSE----------------------------------------------------
# fit <- adjClust(d, type = "dissimilarity")
## ----ex-dissim-sparse, eval=FALSE---------------------------------------------
# fit <- adjClust(d, type = "dissimilarity", h = h)
Try the adjclust package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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