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This Concept Map, created with IHMC CmapTools, has information related to: SOTM, parent(t+1)=parent(t)+η(t)[x-parent(t)] where <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mtext> η(t)=η× </mtext> <mmultiscripts> <mtext> e </mtext> <none/> <mrow> <mtext> - </mtext> <mmultiscripts> <mtext> t </mtext> <mtext> j </mtext> <none/> </mmultiscripts> <mtext> /τ </mtext> <mmultiscripts> <mtext> α </mtext> <mtext> j </mtext> <none/> </mmultiscripts> <mtext> ( </mtext> <mmultiscripts> <mtext> t </mtext> <mtext> j </mtext> <none/> </mmultiscripts> <mtext> ) </mtext> </mrow> </mmultiscripts> </mrow> </math>, Self-Organizing Tree Maps SOTM include known problems, Self-Organizing Tree Maps SOTM is ????, ???? where ????, modified leaning rule is wj(t+1)=wj(t)+alphaj(tj)[x(t)-wj(t)], Self-Organizing Tree Maps SOTM algorithm ????, alpha(t) is the learning rate property 0<alpha(t)ə, H(t) is the Hierarchy control function wich decreases with time properties dynamic, known problems are ????, for Segmentation of grey level Images, SOTM does not degrade well improved by modified leaning rule, wj(t+1)=wj(t)+alphaj(tj)[x(t)-wj(t)] where alphaj(tj) is the learning rate for node j, initialised upon creation of the node and is only decreased if node j is the excited node, parent update rule is parent(t+1)=parent(t)+η(t)[x-parent(t)], Self-Organizing Tree Maps SOTM based on SOM, H(t) is the Hierarchy control function wich decreases with time properties H(t) controls the levels of the tree, The algorithm may return different structures for different trials improved by parent update rule, map property ????, Self-Organizing Tree Maps SOTM output map, for 2D data mapping, convergence require a large number of iterations. is for small number of iterations, the centers are acuratelly located but topological order is not preserved, alpha(t) is the learning rate property usually exponentially decreased, Self-Organizing Tree Maps SOTM purpose unsupervised data clustering