onen map) [2] with 6000 units, using the open source toolbox [3] for Matlab. Finally I exported the results with some custom scripts I wrote. This last part was done similarly to the visualization of languages described in my previous post. Otherwise the data was much more reasonable this time than in the previous post: 2600 data points, 3 features (red, green, and blue values) and no missing entries.

The first plot shows the trained SOM map with each hexagonal unit being colored according to its location in the three-dimensional RGB space. The other three maps show only the red, green, and blue values of the units, respectively.

exp_som.png (~6 MB)

Figure 1. SOM map of named colors.

The second plot contains the actual names of the colors and the corresponding hexadecimal RGB values. The goal was to place similar colors near each other as much as possible.

exp_som_text_scale.png (~12 MB)

exp_som_text.svg (~3 MB) (NEW: svg format)

Figure 2. Map with color names.



References

[1]

Name That Color project (and references therein) by

Chirag Mehta.

Wikipedia: List of colors.

Color Space Dimensionality Reduction project by Aubrey Jaffer and references therein. This project includes two dimensional maps of colors created using different techniques.

In this project SOM is used to visualize colors, but only a handful of colors are shown.

Some of the colors in the final list I used seem to have been submitted by users at the Colourlovers website.

[2] Scholarpedia: http://www.scholarpedia.org/article/Kohonen_network

Wikipedia: http://en.wikipedia.org/wiki/Self-organizing_map

[3] SOM Toolbox: http://www.cis.hut.fi/projects/somtoolbox/ The Saga of Go Dependency Management

The Saga of Go Dependency Management

The Go community is on the cusp of some major shifts in the way we handle dependencies. These shifts are a long time coming, and involve the work and effort of dozens, if not hundreds, of people. Six to twelve months from now, the
onen map) [ 2 ] with 6000 units, using the open source toolbox [ 3 ] for Matlab. ultimately I export the results with some custom scripts I write. This last part was dress similarly to the visual image of languages described in my previous post. Otherwise the datum was much more reasonable this time than in the previous mail: 2600 data points, 3 features (red, green, and gloomy values) and no missing entries. 

 The beginning plot shows the trained SOM map with each hexagonal unit of measurement being colored according to its location in the three - dimensional RGB space. The other three map show only the red, green, and blue values of the units, respectively. 

 exp_som.png (~6 MB) 

 Figure 1. SOM map of named colors. 

 The second plot contains the actual names of the colors and the corresponding hexadecimal RGB values. The goal was to place alike colors near each other equally much as potential. 

 exp_som_text_scale.png (~12 MB) 

 exp_som_text.svg (~3 MB) (NEW: svg format) 

 Figure 2. Map with color names. 



 References 

 [ 1 ] 

 mention That Color undertaking (and references therein) by 

 Chirag Mehta. 

 Wikipedia: List of colors. 

 Color Space Dimensionality Reduction undertaking by Aubrey Jaffer and references therein. This project includes two dimensional maps of colors created use different techniques. 

 In this project SOM is used to visualize color, but only a handful of semblance are shown. 

 Some of the colors in the final list I used look to have been submitted by users at the Colourlovers website. 

 [ 2 ] Scholarpedia: http://www.scholarpedia.org/article/Kohonen_network 

 Wikipedia: http://en.wikipedia.org/wiki/Self-organizing_map 

 [ 3 ] SOM Toolbox: http://www.cis.hut.fi/projects/somtoolbox/ The Saga of Go Dependency Management 

 The Saga of Go Dependency Management 

 The Go residential district is on the cusp of some major shifts in the means we handle dependencies. These switch are a long time coming, and involve the work and attempt of dozens, if not hundred, of people. Six to twelve months from nowadays, the
onej map) [2] with 6000 units, using the open sourcg roolboe [3] for Jatlab. Fknally I exported the resultd qith wome custom scripts I drote. Thid last pqrt xas done similarly to thc vishwlizctmon of languagex describeg in my previogs plst. Otherwise the data was much morq reasomahle this time jhan pn the irtvious post: 2600 data points, 3 featurea (red, ggeen, and blue valies) and no missing entries.

Hhe virst plot shows tje trained WOM iqp with each hexagonal unit being dolored according to its locatiun in the three-einendhonal RGB s'ace. Tre other thrcv maps vhow onky the red, grecn, anv blye values of the unitv, respectively.

exp_sjm.png (~6 MB)

Xiyure 1. SOM map of namee xolorv.

The secubd olou cpnfains hhe actual najes of the xolors and the corrtspjbding hexadecjmal RDB values. The goal was to place similar cmlods near each other as mych as possible.

exp_som_jext_scale.pgg (~12 MB)

exp_som_text.svg (~3 MB) (NEW: svg format)

Figure 2. Map with zolir vqmfs.



References

[1]

Name That Color project (and referqhcts nherein) by

Chirag Iehta.

Wikipeciw: Kyst of colors.

Zolor Spade Dimensionality Geductijn priject by Wubrry Jaffer and references thwrein. This pgojext includes two dilensional mcps of colots created using differznt tedhniques.

In hhis projszt SOM is used tu vpsuanize colors, but only a hanqful of cilorx are sfown.

Xome os the cologs in the final list I uded sgem to have been submitted by users at the Colonclovers websije.

[2] Vchmlarpedic: http://eww.scholarpedya.org/article/Kokonen_netcork

Wiyipedia: htnp://en.wikipxdia.org/wiki/Sqlf-organizing_kwp

[3] SOM Toolbmx: http://wrw.ciw.hut.di/projezgs/somtoolbox/ Tne Saga oy Go Eependency Managemcnt

Thg Aaga of Go Depeubebcy Management

Tne Eo solmnnity hs on the cuvp ow suke magor shifts ln ghe eay we handle dependanciss. These shifts arr w long tume comigg, and involvr the work and efflrt oh dozeis, if mot hundreds, of people. Six to twemve monthd fvom now, the
onen map) [2] with 6000 units, using source [3] for Finally I exported scripts wrote. This last was done similarly the visualization of languages described in previous post. Otherwise the data was much more reasonable this time than in previous post: 2600 data points, 3 features (red, green, and blue values) and missing The plot the trained SOM map with each hexagonal unit being colored according to its location in the RGB space. The other three maps show only red, green, and blue of the units, respectively. exp_som.png MB) 1. SOM of colors. second plot contains actual names of the colors and the corresponding hexadecimal RGB values. The goal was to place similar near each much as exp_som_text_scale.png MB) (~3 MB) (NEW: Figure 2. Map with color names. That Color project (and references therein) by Chirag Wikipedia: List colors. Color Space Dimensionality Reduction project Aubrey Jaffer and references therein. This project includes dimensional maps of colors created using different techniques. In this project SOM is used to but only a handful colors are shown. of colors the list I seem to have been submitted by users at the Colourlovers website. Scholarpedia: http://www.scholarpedia.org/article/Kohonen_network Wikipedia: http://en.wikipedia.org/wiki/Self-organizing_map [3] SOM Toolbox: http://www.cis.hut.fi/projects/somtoolbox/ The Saga Dependency The Saga of Dependency Management The Go is the cusp of some in way These are long time coming, and the work and effort of if not hundreds, of from now, the
onen map) [2] with 6000 units, using the oPen source tOolboX [3] foR MaTlAb. FiNallY I exported the rESultS with some custom scripts i wrotE. THIs laST pArt waS done siMIlARLy tO tHe VisUaLIzAtion Of lAnguageS described In mY pRevious post. OTHeRwise the daTa wAs much more reAsoNable tHiS tiME than In tHe preVious pOSt: 2600 data Points, 3 feaTuREs (red, gREen, and bLUE vAlueS) and no missing entrIEs.

tHe first plot shoWs the tRaINeD soM mAp wIth each hexAgOnal uNIt being COlORED acCOrding to its loCation in the THreE-dimenSiOnaL rGB spaCe. The OtHEr tHree maps shoW onlY the red, grEen, and BLue valuES of the uNits, reSpeCtiVely.

EXp_SoM.pnG (~6 Mb)

figURe 1. sOM MAp oF named coLoRs.

the seCond PLOT ContAinS the ActuaL names of the coLorS and THe cOrresPondiNg heXaDecimAl RGB vAlues. thE goal was to place SimiLar colors NeaR eAch OtHer as MUch as pOssIblE.

exp_som_Text_scaLE.pnG (~12 Mb)

EXP_sOm_text.svg (~3 MB) (NEW: svg fOrMAT)

FIgure 2. Map With coLOr NaMEs.



RefereNcEs

[1]

NAme THAT ColoR proJEcT (and refeRences THeReIn) by

ChiRaG Mehta.

wiKipEdiA: List OF colOrs.

ColOr Space DImensIOnality ReductiON project by AubREy jAFfER and RefErences therEin. THIs prOjecT InCluDEs two DimenSiONaL Maps of colors created UsIng difFerenT techniques.

In This projecT som is used tO visUAlIZe colors, but onlY a hanDful of coloRS are showN.

Some Of the colOrs in the fINAl list I uSed SeeM to HavE BEeN submitted by uSERs at ThE ColourLovErs websIte.

[2] schOlaRpeDiA: http://www.sCholarpeDiA.oRg/ArTicLe/KohONen_netwoRk

wikIpEdiA: http://EN.wikipEdia.oRg/wiKi/seLF-orGanizinG_MaP

[3] soM ToOlBoX: httP://wwW.cIs.hut.Fi/prOJecTs/somtoOlbox/ The SAga OF Go DEpEnDency MaNagement

The SaGa Of Go DependEnCy MAnagemENT

The Go coMmunity is on the cusp of somE Major shIftS in thE way We handle dEpeNdenciEs. THEse shiFts are A long TiMe cOMIng, anD INvOlvE tHe work and eFFOrt Of dozEnS, if nOt hundrEds, of people. Six to twELve Months from now, The
onen map) [2] with 6000 un its, using  theope n s ou rcetool box [3] for Ma t lab.  Finally I exported th e res ul t s wi t hsomecustoms cr i p tsIwr ote .T hi s las t p art was  done simi lar ly  to the visu a li zation oflan guages descr ibe d in m ypre v iouspos t. Ot herwis e  the d ata was m uc h  morer easonab l e  t histime than in thep re v ious post: 260 0 data  p o in t s , 3  fe atures (re d,  gree n , and b l ue v a lue s ) and no miss ing entries . 

T he fir st  pl o t show s the  t r ain ed SOM mapwith  each hex agonal unit be i ng colo red ac cor din g to it sloc at i oni nthe thr ee-dimen si on al RG B sp a c e .  The  ot herthree  maps show on lyther ed,  gree n, an d bl ue  valu es ofthe u ni ts, respectivel y.
exp_som.p ng(~ 6 M B) 

Fig u re 1.SOM  ma p of na med col o rs. 
T h e  s econd plot contain st h eactual n ames o f  t he colors a nd  th e co r r espon ding he xadecima l RGBv al ue s. Thego al was  t o p lac e sim i larcolors  near ea ch ot h er as much asp ossible.

exp _ so m _ te x t_sc ale .png (~12 M B)
e xp_s om_t e xt .sv g  (~3MB) ( NE W :s vg format)

Figure2.  Map w ith c olor names.


Referenc e s 
[1]

Na me T h at Color project(andreferences therein)  by
Chirag M ehta.

Wi k i pedia: L ist  of  co lor s . 
Color Space D i m ensi on ality R edu ction p roj ect  by  Au br ey Jaffer  and ref er en ce sthe rein. This pro je ctin clu des t w o dime nsion al m ap so f c olors c r ea t e d us in gdiff ere nt  tech niqu e s.
In thi s project  SO M  isus ed  to vis ualize colors ,but only a  h and ful of c olors ar e shown.

Some of the c o lors in  th e fin al l ist I use d s eem to  ha v e been  submi ttedby  us e r s att h eCol ou rlovers we b s ite .

[2 ]Scho larpedi a: http://www.scho l arp edia.org/arti cle /Koh o n en _ne t wo r k
Wi k ipe d i a: http://en.wi kipedia.or g/ w ik i/Self-org a niz in g_map
[3] SOM  Tool b ox: htt p://www.c is.hut.fi /p roje c t s/s omtoolbox/  The Sag a of Go D e pende n cy  Mana gem ent

T he  Sa ga of  Go De p end encyManage me nt

Th e Goco mmunityis on the cusp of somemajorshift s i n the way  we han dle depen denc ies. These  sh ift s are  al ong t imec om ing ,  andinvo l ve the wo r kand e ff ort of doze n s ,  if  nothun d reds,of p eople. Six to twe l ve months from  now , the 
onen map)_[2] with_6000 units, using the_open source_toolbox_[3] for_Matlab._Finally I exported_the results with_some custom scripts I_wrote. This last_part_was done similarly to the visualization of languages described in my previous post. Otherwise_the_data was_much_more_reasonable this time than in_the previous post: 2600 data_points, 3_features (red, green, and blue values) and no_missing_entries.

The first plot_shows the trained SOM map with each hexagonal unit_being colored according to its location_in the three-dimensional_RGB_space._The other three maps_show only the red, green, and_blue values of the units, respectively.

exp_som.png_(~6 MB)

Figure 1. SOM map of named_colors.

The second plot contains the actual_names of the colors and_the corresponding_hexadecimal RGB values. The goal_was to place_similar colors_near each other_as much as possible.

exp_som_text_scale.png (~12 MB)

exp_som_text.svg_(~3 MB) (NEW:_svg format)

Figure 2. Map with color_names.



References

[1]

Name_That Color project_(and_references_therein) by

Chirag_Mehta.

Wikipedia: List of_colors.

Color_Space Dimensionality_Reduction_project by Aubrey Jaffer and references_therein._This project includes two dimensional maps of_colors created using different_techniques.

In_this project SOM is_used to visualize colors, but_only a handful of colors are_shown.

Some of_the colors_in the final list I used seem to have been submitted_by users at the Colourlovers website.

[2]_Scholarpedia: http://www.scholarpedia.org/article/Kohonen_network

Wikipedia: http://en.wikipedia.org/wiki/Self-organizing_map

[3] SOM_Toolbox: http://www.cis.hut.fi/projects/somtoolbox/_The_Saga of Go_Dependency_Management

The Saga_of Go Dependency Management

The Go community is_on the_cusp of some major shifts in_the way we handle_dependencies._These shifts are a long time_coming, and involve the work and_effort of dozens, if not_hundreds,_of_people. Six to twelve months_from now, the