📄 cutreedynamictree
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cutreeDynamicTree package:dynamicTreeCut R Documentation
_D_y_n_a_m_i_c _d_e_n_d_r_o_g_r_a_m _p_r_u_n_i_n_g _b_a_s_e_d _o_n _d_e_n_d_r_o_g_r_a_m _o_n_l_y
_D_e_s_c_r_i_p_t_i_o_n:
Detect clusters in a hierarchical dendrogram using a variable cut
height approach. Uses only the information in the dendrogram
itself is used (which may give incorrect assignment for outlying
objects).
_U_s_a_g_e:
cutreeDynamicTree(dendro, maxTreeHeight = 1, deepSplit = TRUE, minModuleSize = 50)
_A_r_g_u_m_e_n_t_s:
dendro: Hierarchical clustering dendrogram such produced by 'hclust'.
maxTreeHeight: Maximum joining height of objects to be considered part
of clusters.
deepSplit: If 'TRUE', method will favor sensitivity and produce more
smaller clusters. When 'FALSE', there will be fewer bigger
clusters.
minModuleSize: Minimum module size. Branches containing fewer than
'minModuleSize' objects will be left unlabeled.
_D_e_t_a_i_l_s:
A variable height branch pruning technique for dendrograms
produced by hierarchical clustering. Initially, branches are cut
off at the height 'maxTreeHeight'; the resulting clusters are then
examined for substructure and if subclusters are detected, they
are assigned separate labels. Subclusters are detected by
structure and are required to have a minimum of 'minModuleSize'
objects on them to be assigned a separate label. A rough degree of
control over what it means to be a subcluster is implemented by
the parameter 'deepSplit'.
_V_a_l_u_e:
A vector of numerical labels giving assignment of objects to
modules. Unassigned objects are labeled 0, the largest module has
label 1, next largest 2 etc.
_A_u_t_h_o_r(_s):
Bin Zhang, binzhang.ucla@gmail.com, with contributions by Peter
Langfelder, Peter.Langfelder@gmail.com.
_R_e_f_e_r_e_n_c_e_s:
<URL:
http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/BranchCutting>
_S_e_e _A_l_s_o:
'cutreeHybrid'
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