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📄 somtoolbox.html

📁 Kohonen的SOM软件包
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<DD><TT><a href="vis_show_gui_comp.html">vis_show_gui_comp</a></TT>:  internal function used by som_show_gui.m<DD><TT><a href="vis_show_gui_tool.html">vis_show_gui_tool</a></TT>:  internal function used by som_show_gui.m<P><DT><B>Other</B></DT><P><DD><TT><a href="somtoolbox.html">somtoolbox</a></TT>:  this file<DD><TT>iris.data</TT>:  IRIS data set (used in demos)<DD><TT>License.txt</TT>:  GNU General Public License <DD><TT>Copyright.txt</TT>:  Copyright notice<DD><TT><a href="Contents.html">Contents</a></TT>: Overview of SOM Toolbox functions</DL><p><hr><p><a name="bysort"><H2> Alphabetical order </H2></a><TABLE NOBORDER><TR><TD><a href="Contents.html">Contents</a> <TD>Overview of SOM Toolbox functions<TR><TD>Copyright.txt <TD> Copyright notice<TR><TD>License.txt <TD> GNU General Public License <TR><TD><a href="cca.html">cca</a> <TD> curvilinear component analysis projection algorithm<TR><TD><a href="db_index.html">db_index</a> <TD> Davies-Bouldin validity index of clustering  <TR><TD><a href="hits.html">hits</a> <TD> calculates hits, or sum of values for each map unit<TR><TD>iris.data <TD> IRIS data set (used in demos)<TR><TD><a href="kmeans_clusters.html">kmeans_clusters</a> <TD> try and evaluate several k-means clusterings<TR><TD><a href="knn.html">knn</a> <TD> k-NN classification algorithm <TR><TD><a href="knn_old.html">knn_old</a> <TD> k-NN classification algorithm (old version)<TR><TD><a href="lvq1.html">lvq1</a> <TD> LVQ1 algorithm<TR><TD><a href="lvq3.html">lvq3</a> <TD> LVQ3 algorithm<TR><TD><a href="nanstats.html">nanstats</a> <TD> mean, std and median which ignore NaNs<TR><TD><a href="neural_gas.html">neural_gas</a> <TD> neural gas vector quantization algorithm<TR><TD><a href="pcaproj.html">pcaproj</a> <TD> principal component projection algorithm<TR><TD><a href="preprocess.html">preprocess</a> <TD> preprocessing GUI<TR><TD><a href="rep_utils.html">rep_utils</a> <TD> various utilities for printing report elements<TR><TD><a href="sammon.html">sammon</a> <TD> Sammon's mapping projection algorithm<TR><TD><a href="som_autolabel.html">som_autolabel</a> <TD> automatically labels the SOM based on given data<TR><TD><a href="som_barplane.html">som_barplane</a> <TD> bar chart visualization of map<TR><TD><a href="som_batchtrain.html">som_batchtrain</a> <TD> batch training algorithm<TR><TD><a href="som_bmucolor.html">som_bmucolor</a> <TD> colors of the BMUs from a given map color code<TR><TD><a href="som_bmus.html">som_bmus</a> <TD> calculates BMUs for given data vectors<TR><TD><a href="som_cldist.html">som_cldist</a> <TD> calculate distances between clusters<TR><TD><a href="som_clget.html">som_clget</a> <TD> get stuff from a cluster struct<TR><TD><a href="som_cllinkage.html">som_cllinkage</a> <TD> hierarchical clustering of SOM<TR><TD><a href="som_clplot.html">som_clplot</a> <TD> plots of clusters (based on cluster struct)<TR><TD><a href="som_clset.html">som_clset</a> <TD> set properties in a cluster struct<TR><TD><a href="som_clspread.html">som_clspread</a> <TD> spreads clusters to unassinged map units<TR><TD><a href="som_clstruct.html">som_clstruct</a> <TD> create a cluster struct<TR><TD><a href="som_clustercolor.html">som_clustercolor</a> <TD> color coding which depends on clustering structure<TR><TD><a href="som_cod2ind.html">som_cod2ind</a> <TD> from SOM_linear index to SOM_PAK linear index <TR><TD><a href="som_colorcode.html">som_colorcode</a> <TD> create color coding for map/2D data<TR><TD><a href="som_coloring.html">som_coloring</a> <TD> a SOM-based color coding <TR><TD><a href="som_connection.html">som_connection</a> <TD> connection matrix for map <TR><TD><a href="som_cplane.html">som_cplane</a> <TD> component planes and U-matrices<TR><TD><a href="som_data_struct.html">som_data_struct</a> <TD> create & initialize a data struct <TR><TD><a href="som_demo1.html">som_demo1</a> <TD> SOM Toolbox demo 1: basic properties<TR><TD><a href="som_demo2.html">som_demo2</a> <TD> SOM Toolbox demo 2: basic usage<TR><TD><a href="som_demo3.html">som_demo3</a> <TD> SOM Toolbox demo 3: visualization<TR><TD><a href="som_demo4.html">som_demo4</a> <TD> SOM Toolbox demo 4: data analysis<TR><TD><a href="som_dendrogram.html">som_dendrogram</a> <TD> visualization of clustering tree<TR><TD><a href="som_denormalize.html">som_denormalize</a> <TD> denormalize data set <TR><TD><a href="som_distortion.html">som_distortion</a> <TD> SOM distortion measure<TR><TD><a href="som_distortion3.html">som_distortion3</a> <TD> elements of the SOM distortion measure<TR><TD><a href="som_divide.html">som_divide</a> <TD> extract subsets of data based on map<TR><TD><a href="som_dmatclusters.html">som_dmatclusters</a> <TD> distance (or U-) matrix based clustering<TR><TD><a href="som_dmatminima.html">som_dmatminima</a> <TD> local minima from distance (or U-) matrix<TR><TD><a href="som_dreval.html">som_dreval</a> <TD> evaluate descriptive rules for a cluster<TR><TD><a href="som_drmake.html">som_drmake</a> <TD> calculate descriptive rules for a cluster<TR><TD><a href="som_drsignif.html">som_drsignif</a> <TD> rule significance measures<TR><TD><a href="som_estimate_gmm.html">som_estimate_gmm</a> <TD> create Gaussian mixture model on top of SOM<TR><TD><a href="som_eucdist2.html">som_eucdist2</a> <TD> pairwise squared euclidian distances between vectors<TR><TD><a href="som_fillnans.html">som_fillnans</a> <TD> fill NaNs in a data set based on given SOM<TR><TD><a href="som_fuzzycolor.html">som_fuzzycolor</a> <TD> a fuzzy color coding <TR><TD><a href="som_gapindex.html">som_gapindex</a> <TD> gap validity index of clustering<TR><TD><a href="som_grid.html">som_grid</a> <TD> visualization of SOM grid<TR><TD><a href="som_gui.html">som_gui</a> <TD> SOM initialization and training GUI<TR><TD><a href="som_hits.html">som_hits</a> <TD> calculates the response of data on the map<TR><TD><a href="som_ind2cod.html">som_ind2cod</a> <TD> from linear index to SOM_PAK linear index <TR><TD><a href="som_ind2sub.html">som_ind2sub</a> <TD> from linear index to subscript index <TR><TD><a href="som_info.html">som_info</a> <TD> print out information on a given struct  <TR><TD><a href="som_kmeans.html">som_kmeans</a> <TD> k-means algorithm<TR><TD><a href="som_kmeanscolor.html">som_kmeanscolor</a> <TD> color coding according to k-means clustering<TR><TD><a href="som_kmeanscolor2.html">som_kmeanscolor2</a> <TD> a newer version of the som_kmeanscolor function<TR><TD><a href="som_label.html">som_label</a> <TD> give labels to map units<TR><TD><a href="som_label2num.html">som_label2num</a> <TD> rcodes string data labels to interger class labels <TR><TD><a href="som_lininit.html">som_lininit</a> <TD> linear initialization algorithm<TR><TD><a href="som_linkage.html">som_linkage</a> <TD> hierarchical clustering algorithms<TR><TD><a href="som_make.html">som_make</a> <TD> create, initialize and train a SOM<TR><TD><a href="som_map_struct.html">som_map_struct</a> <TD> create & initialize a map struct <TR><TD><a href="som_mdist.html">som_mdist</a> <TD> calculates pairwise distances between vectors <TR><TD><a href="som_modify_dataset.html">som_modify_dataset</a> <TD> add, remove, or extract samples and components<TR><TD><a href="som_neighborhood.html">som_neighborhood</a> <TD> calculates neighborhood matrix for the given map<TR><TD><a href="som_neighbors.html">som_neighbors</a> <TD> calculates different kinds of neighborhoods <TR><TD><a href="som_neighf.html">som_neighf</a> <TD> calculates neighborhood function values<TR><TD><a href="som_norm_variable.html">som_norm_variable</a> <TD> (de)normalize one variable<TR><TD><a href="som_normalize.html">som_normalize</a> <TD> normalize data set<TR><TD><a href="som_normcolor.html">som_normcolor</a> <TD> simulate indexed colormap<TR><TD><a href="som_order_cplanes.html">som_order_cplanes</a> <TD> order and visualize the component planes<TR><TD><a href="som_pieplane.html">som_pieplane</a> <TD> pie chart visualization of map<TR><TD><a href="som_plotmatrix.html">som_plotmatrix</a> <TD> pairwise scatter plots and histograms<TR><TD><a href="som_plotplane.html">som_plotplane</a> <TD> plot chart visualization of map<TR><TD><a href="som_probability_gmm.html">som_probability_gmm</a> <TD> evaluate Gaussian mixture model<TR><TD><a href="som_projections.html">som_projections</a> <TD> calculates a default set of projections<TR><TD><a href="som_projections_plot.html">som_projections_plot</a> <TD> projections plots (see som_projections)<TR><TD><a href="som_prototrain.html">som_prototrain</a> <TD> a simple version of sequential training: easy to modify<TR><TD><a href="som_quality.html">som_quality</a> <TD> quantization and topographic error of SOM<TR><TD><a href="som_randinit.html">som_randinit</a> <TD> random initialization algorithm<TR><TD><a href="som_read_cod.html">som_read_cod</a> <TD> reads a SOM_PAK format codebook file<TR><TD><a href="som_read_data.html">som_read_data</a> <TD> reads a (SOM_PAK format) ASCII data file<TR><TD><a href="som_recolorbar.html">som_recolorbar</a> <TD> refresh/reconfigure colorbars<TR><TD><a href="som_select.html">som_select</a> <TD> GUI for manual selection of map units<TR><TD><a href="som_seqtrain.html">som_seqtrain</a> <TD> sequential training algorithm<TR><TD><a href="som_set.html">som_set</a> <TD> create & set (& check) values to structs<TR><TD><a href="som_show.html">som_show</a> <TD> basic visualization<TR><TD><a href="som_show_add.html">som_show_add</a> <TD> add labels, hits and trajectories<TR><TD><a href="som_show_clear.html">som_show_clear</a> <TD> remove extra markers<TR><TD><a href="som_show_gui.html">som_show_gui</a> <TD> GUI for using som_show and associated functions<TR><TD><a href="som_sompaktrain.html">som_sompaktrain</a> <TD> uses SOM_PAK to train a map<TR><TD><a href="som_stats.html">som_stats</a> <TD> statistics of a data set<TR><TD><a href="som_stats_plot.html">som_stats_plot</a> <TD> plots of statistics (see som_stats)<TR><TD><a href="som_stats_report.html">som_stats_report</a> <TD> report on data set statistics<TR><TD><a href="som_stats_table.html">som_stats_table</a> <TD> a table of data set statistics<TR><TD><a href="som_sub2ind.html">som_sub2ind</a> <TD> from subscript index to linear index<TR><TD><a href="som_supervised.html">som_supervised</a> <TD> supervised SOM algorithm<TR><TD><a href="som_table_modify.html">som_table_modify</a> <TD> modifies a table struct<TR><TD><a href="som_table_print.html">som_table_print</a> <TD> print a table in various formats<TR><TD><a href="som_table_struct.html">som_table_struct</a> <TD> creates a table struct<TR><TD><a href="som_topol_struct.html">som_topol_struct</a> <TD> create & initialize a topology struct <TR><TD><a href="som_train_struct.html">som_train_struct</a> <TD> create & initialize a train struct <TR><TD><a href="som_trajectory.html">som_trajectory</a> <TD> launches a GUI for presenting comet-trajectories <TR><TD><a href="som_umat.html">som_umat</a> <TD> calculates the U-matrix<TR><TD><a href="som_unit_coords.html">som_unit_coords</a> <TD> calculates coordinates in output space for map units<TR><TD><a href="som_unit_dists.html">som_unit_dists</a> <TD> distances in output space between map units<TR><TD><a href="som_unit_neighs.html">som_unit_neighs</a> <TD> units in 1-neighborhood for each map unit<TR><TD><a href="som_vis_coords.html">som_vis_coords</a> <TD> map unit coordinates used in visualizations<TR><TD><a href="som_vs1to2.html">som_vs1to2</a> <TD> converts a version 1.0 struct to version 2.0 struct<TR><TD><a href="som_vs2to1.html">som_vs2to1</a> <TD> converts a version 2.0 struct to version 1.0 struct<TR><TD><a href="som_write_cod.html">som_write_cod</a> <TD> writes a SOM_PAK format data file<TR><TD><a href="som_write_data.html">som_write_data</a> <TD> writes a SOM_PAK format codebook file<TR><TD><a href="sompak_gui.html">sompak_gui</a> <TD> GUI for using SOM_PAK from Matlab<TR><TD><a href="sompak_init.html">sompak_init</a> <TD> call SOM_PAK's initialization programs from Matlab<TR><TD><a href="sompak_init_gui.html">sompak_init_gui</a> <TD> GUI for using SOM_PAK's initialization from Matlab<TR><TD><a href="sompak_rb_control.html">sompak_rb_control</a> <TD> an auxiliary function for sompak_*_gui functions.<TR><TD><a href="sompak_sammon.html">sompak_sammon</a> <TD> call SOM_PAK's Sammon program from Matlab<TR><TD><a href="sompak_sammon_gui.html">sompak_sammon_gui</a> <TD> GUI for using SOM_PAK's Sammon program from Matlab<TR><TD><a href="sompak_train.html">sompak_train</a> <TD> call SOM_PAK's training program from Matlab<TR><TD><a href="sompak_train_gui.html">sompak_train_gui</a> <TD> GUI for using SOM_PAK's training program from Matlab <TR><TD><a href="somtoolbox.html">somtoolbox</a> <TD> this file<TR><TD><a href="vis_PlaneAxisProperties.html">vis_PlaneAxisProperties</a> <TD> set axis properties in visualization functions<TR><TD><a href="vis_footnote.html">vis_footnote</a> <TD> adds a movable text to the current figure <TR><TD><a href="vis_footnoteButtonDownFcn.html">vis_footnoteButtonDownFcn</a> <TD> callback function for vis_footnote.m<TR><TD><a href="vis_patch.html">vis_patch</a> <TD> defines hexagonal and rectangular patches<TR><TD><a href="vis_planeGetArgs.html">vis_planeGetArgs</a> <TD> converts topol struct to lattice, msize argument pair<TR><TD><a href="vis_show_gui_comp.html">vis_show_gui_comp</a> <TD> internal function used by som_show_gui.m<TR><TD><a href="vis_show_gui_tool.html">vis_show_gui_tool</a> <TD> internal function used by som_show_gui.m<TR><TD><a href="vis_som_show_data.html">vis_som_show_data</a> <TD> returns UserData and subplot handles stored by som_show.m<TR><TD><a href="vis_trajgui.html">vis_trajgui</a> <TD> the actual GUI started by som_trajectory.m <TR><TD><a href="vis_valuetype.html">vis_valuetype</a> <TD> used for type checks </TABLE><p><hr><br><br><!-- Last updated: May 30 2002 --></body></html>

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