ls_fit_addtree
(Package: clue) :
Least Squares Fit of Additive Tree Distances to Dissimilarities
Find the additive tree distance or centroid distance minimizing least squares distance (Euclidean dissimilarity) to a given dissimilarity object.
● Data Source:
CranContrib
● Keywords: cluster, optimize
● Alias: ls_fit_addtree, ls_fit_centroid
●
0 images
|
|
Find the ultrametric from a target equivalence class of hierarchies which minimizes weighted Euclidean or Manhattan dissimilarity to a given dissimilarity object.
● Data Source:
CranContrib
● Keywords: cluster, optimize
● Alias: l1_fit_ultrametric_target, ls_fit_ultrametric_target
●
0 images
|
cl_margin
(Package: clue) :
Membership Margins
Compute the margin of the memberships of a partition, i.e., the difference between the largest and second largest membership values of the respective objects.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: cl_margin
●
0 images
|
n_of_classes
(Package: clue) :
Classes in a Partition
Determine the number of classes and the class ids in a partition of objects.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: as.cl_class_ids, cl_class_ids, n_of_classes
●
0 images
|
cl_bag
(Package: clue) :
Bagging for Clustering
Construct partitions of objects by running a base clustering algorithm on bootstrap samples from a given data set, and “suitably” aggregating these primary partitions.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: cl_bag
●
0 images
|
cl_pclust
(Package: clue) :
Prototype-Based Partitions of Clusterings
Compute prototype-based partitions of a cluster ensemble by minimizing ∑ w_b u_{bj}^m d(x_b, p_j)^e, the sum of the case-weighted and membership-weighted e-th powers of the dissimilarities between the elements x_b of the ensemble and the prototypes p_j, for suitable dissimilarities d and exponents e.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: cl_pclust
●
0 images
|
kmedoids
(Package: clue) :
K-Medoids Clustering
Compute a k-medoids partition of a dissimilarity object.
● Data Source:
CranContrib
● Keywords: cluster, optimize
● Alias: kmedoids
●
0 images
|
cl_validity
(Package: clue) :
Validity Measures for Partitions and Hierarchies
Compute validity measures for partitions and hierarchies, attempting to measure how well these clusterings capture the underlying structure in the data they were obtained from.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: cl_validity, cl_validity.default
●
0 images
|
l1_fit_ultrametric
(Package: clue) :
Least Absolute Deviation Fit of Ultrametrics to Dissimilarities
Find the ultrametric with minimal absolute distance (Manhattan dissimilarity) to a given dissimilarity object.
● Data Source:
CranContrib
● Keywords: cluster, optimize
● Alias: l1_fit_ultrametric
●
0 images
|
cl_pam
(Package: clue) :
K-Medoids Partitions of Clusterings
Compute k-medoids partitions of clusterings.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: cl_pam
●
0 images
|
providing 
.