title: How to remove individual attributes within cluster plots
body: <p>I would like a fairly plain, publication-quality cluster plot. I have created the plot and removed the title, legend and adjusted the axis titles, with the script provided. However, I would also like to remove all of the individual row labels 'attributes' that are my sample ID's within each of the two cluster's e.g. CLR45, HTR132. Is this possible?   <a href="https://i.stack.imgur.com/2LJM5.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/2LJM5.png" alt="Image Cluster Plot" /></a></p>
  <pre><code>fviz_cluster(k2, data = Chem)+ theme(legend.position = &quot;none&quot;)+labs(title = &quot;&quot;) +  theme(
          axis.title.x = element_text(margin = unit(c(3, 0, 0, 0), &quot;mm&quot;)),
          axis.title.y = element_text(margin = unit(c(0, 3, 0, 0), &quot;mm&quot;)))
  
  dput(head(Chem,50))
  structure(c(0.147411356827536, -0.94833184269442, -0.236098761737746, 
  -0.156408346996621, -1.07782876612066, 0.15737266025443, -0.85369947703763, 
  -0.684357344128487, -0.744125156240499, -0.166369650423515, 1.06883177595158, 
  -1.72531338325188, -1.16249983257523, -0.908486633211519, -1.30693870691714, 
  -1.04296420835121, 0.336676092365792, -0.45026675161856, -0.455247403332007, 
  -0.935222767283235, -0.798912316639064, 0.185622913832727, -0.345812539076084, 
  0.264855107585394, -0.649213869051943, -0.745838498773852, -0.952615203252478, 
  0.510998876988382, 1.40751604176986, -0.749105803729271, 0.222121124079889, 
  0.146973059409158, -0.25104071265341, -0.176330949625734, -0.734163852813605, 
  1.1584834941196, 0.869605741211104, 0.202198517226101, 0.301811538821014, 
  -0.0567953296263845, -0.669415393212821, -0.191272904766074, 
  -0.71922190189794, 0.222121124079889, -0.51999586293279, -0.231118110024299, 
  0.5608053856735, -0.285905270422864, -0.614628232814256, 0.0378370402550813, 
  1.21148988263212, -0.722729092058211, 0.938866964062205, 1.29275958711264, 
  1.23956487191698, 1.86977449177269, 1.84761002727152, 2.09068032585176, 
  0.430561900436177, -0.339283848035902, 3.19668712695198, -0.305298335931744, 
  -0.0186379222283033, 3.76926913851535, -0.987963856121806, 0.356680351444172, 
  3.44123505721924, 0.255462628028634, -1.00052371956831, -0.425184448439876, 
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  0.893697766122234, 0.710344953491444, -0.316430750432833, 0.453651027510375, 
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  0.343639347733259, 0.105280700089759, -0.811483324057402, 3.43885470777859, 
  -0.829818602394972, 0.948923628687728, -1.17727227024187, 0.507850124084635, 
  -0.054162900383238, 0.0383202589981529, -0.111075611598317, 0.215292379866875, 
  -0.243089627330857, -0.609795233089042, -0.499783553311926, -0.367182807190326, 
  -0.719806922617856, 0.105280700089759, -0.353101307107973, 0.728680241580711, 
  -0.848153880732542, -0.994836126936495, -1.26986533125513, -0.976500848598925, 
  0.398645192497665, -1.01317140527406, 0.123615978427329, -0.774812757630565, 
  -1.08651252837604, -0.646465799515879, -0.536454109987066, -0.829818602394972, 
  0.508656872274782, -0.518118831649496, 0.675002376238412, -0.0617082448613822, 
  -0.668996727923662, -1.60481832778947, -0.71877447345135, 0.625224632383091, 
  -1.78899598306442, -0.793441090906698, -1.09210755738336, 1.32211305639179, 
  -1.96321808990278, -1.51521838684306, 0.00549171084843096, -2.9911285157337, 
  0.276780418706376, -2.1225068715777, -1.56499613237074, -0.683930051414732, 
  0.271802645324263, 0.398636337390084, -0.270774772063992, 0.662607717406351, 
  1.26287754043467, -0.00695272427921605, 0.459290519580567, -0.0828886740640689, 
  -0.779976209944577, 0.525669143000081, 1.64566839646848, -0.527130156430866, 
  -1.99806251026703, 0.852509813910332, -1.05477425032805, 0.0726916665582448, 
  0.177224929323366, 0.824335611149109, -0.444996877229983, -0.0218860477702858, 
  -1.2713074392762, -0.270774772063992, -0.0467749213703124, 0.625224632383091, 
  -0.569441240213019, 0.722291233402677, 0.401224781689411, 0.127447185468045, 
  0.80442451260356, -0.594330112140679, 0.824335611149109, 0.276780418706376
  ), .Dim = c(50L, 5L), .Dimnames = list(c(&quot;CLR16&quot;, &quot;CLR36&quot;, &quot;CLR52&quot;, 
  &quot;CLR56&quot;, &quot;CLR20&quot;, &quot;CLR22&quot;, &quot;CLR11&quot;, &quot;CLR14&quot;, &quot;CLR17&quot;, &quot;CLR33&quot;, 
  &quot;CLR41&quot;, &quot;CLR43&quot;, &quot;CLR50&quot;, &quot;CLR32&quot;, &quot;CLR35&quot;, &quot;CLR37&quot;, &quot;CLR45&quot;, 
  &quot;CLR48&quot;, &quot;CLR49&quot;, &quot;CLR5&quot;, &quot;CLR55&quot;, &quot;CLR58&quot;, &quot;CLR59&quot;, &quot;CLR6&quot;, 
  &quot;CLR60&quot;, &quot;CLR61&quot;, &quot;CLR62&quot;, &quot;CLR65&quot;, &quot;CLR66&quot;, &quot;CLR67&quot;, &quot;CLR68&quot;, 
  &quot;CLR7&quot;, &quot;GGR70&quot;, &quot;GGR77&quot;, &quot;GGR71&quot;, &quot;GGR69&quot;, &quot;GGR72&quot;, &quot;GGR73&quot;, 
  &quot;GGR74&quot;, &quot;GGR75&quot;, &quot;GGR76&quot;, &quot;GGR78&quot;, &quot;GGR79&quot;, &quot;GGR80&quot;, &quot;GGR81&quot;, 
  &quot;GGR83&quot;, &quot;GGR84&quot;, &quot;GGR85&quot;, &quot;GGR87&quot;, &quot;GGR89&quot;), c(&quot;X88Sr_umol_molCa&quot;, 
  &quot;X138Ba_umol_molCa&quot;, &quot;X25Mg_umol_molCa&quot;, &quot;X55Mn_umol_molCa&quot;, 
  &quot;X7Li_umol_molCa&quot;)))
  </code></pre>