Resutls and Scripts

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+1 
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+425_s   421
+426_s   422
+427_s   423
+430_s   426
+432_s   428
+435_s   431
+436_s   432
+439_s   435
+441_s   437
+449_s   445
+455_s   451

+1 
+Cluster:  1 
+
+3_s   3
+17_s   17
+33_s   33
+42_s   42
+43_s   43
+59_s   59
+66_s   66
+82_s   82
+84_s   84
+100_s   100
+123_s   123
+124_s   124
+132_s   131
+136_s   135
+137_s   136
+148_s   147
+188_s   186
+196_s   194
+216_s   214
+219_s   217
+226_s   224
+227_s   225
+229_s   227
+230_s   228
+234_s   232
+238_s   236
+244_s   242
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+269_s   266
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+301_s   297
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+303_s   299
+315_s   311
+332_s   328
+350_s   346
+361_s   357
+366_s   362
+379_s   375
+415_s   411
+421_s   417
+444_s   440
+445_s   441
+446_s   442
+453_s   449
+1 
+Cluster:  2 
+
+1_s   1
+5_s   5
+6_s   6
+7_s   7
+8_s   8
+10_s   10
+12_s   12
+13_s   13
+14_s   14
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+320_s   316
+322_s   318
+325_s   321
+326_s   322
+328_s   324
+330_s   326
+333_s   329
+335_s   331
+336_s   332
+340_s   336
+343_s   339
+345_s   341
+347_s   343
+348_s   344
+349_s   345
+352_s   348
+353_s   349
+354_s   350
+355_s   351
+356_s   352
+357_s   353
+360_s   356
+362_s   358
+363_s   359
+364_s   360
+365_s   361
+367_s   363
+368_s   364
+371_s   367
+372_s   368
+374_s   370
+375_s   371
+376_s   372
+377_s   373
+378_s   374
+380_s   376
+383_s   379
+384_s   380
+387_s   383
+388_s   384
+390_s   386
+391_s   387
+392_s   388
+398_s   394
+399_s   395
+401_s   397
+402_s   398
+403_s   399
+407_s   403
+408_s   404
+409_s   405
+411_s   407
+413_s   409
+414_s   410
+416_s   412
+418_s   414
+419_s   415
+420_s   416
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+428_s   424
+429_s   425
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+433_s   429
+437_s   433
+438_s   434
+440_s   436
+442_s   438
+443_s   439
+447_s   443
+448_s   444
+450_s   446
+451_s   447
+452_s   448
+1 
+Cluster:  3 
+
+9_s   9
+19_s   19
+21_s   21
+26_s   26
+32_s   32
+39_s   39
+52_s   52
+73_s   73
+77_s   77
+95_s   95
+107_s   107
+113_s   113
+125_s   125
+129_s   128
+131_s   130
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+158_s   157
+172_s   170
+175_s   173
+180_s   178
+200_s   198
+202_s   200
+207_s   205
+224_s   222
+228_s   226
+231_s   229
+259_s   256
+263_s   260
+274_s   271
+283_s   280
+288_s   285
+306_s   302
+321_s   317
+323_s   319
+334_s   330
+359_s   355
+382_s   378
+395_s   391
+417_s   413
+434_s   430
+454_s   450
+1 
+Cluster:  4 
+
+2_s   2
+4_s   4
+11_s   11
+15_s   15
+27_s   27
+30_s   30
+35_s   35
+36_s   36
+40_s   40
+41_s   41
+45_s   45
+46_s   46
+50_s   50
+51_s   51
+53_s   53
+56_s   56
+57_s   57
+60_s   60
+61_s   61
+62_s   62
+63_s   63
+68_s   68
+76_s   76
+78_s   78
+85_s   85
+96_s   96
+97_s   97
+99_s   99
+103_s   103
+105_s   105
+108_s   108
+111_s   111
+114_s   114
+116_s   116
+119_s   119
+121_s   121
+122_s   122
+133_s   132
+134_s   133
+135_s   134
+139_s   138
+140_s   139
+143_s   142
+151_s   150
+152_s   151
+154_s   153
+155_s   154
+157_s   156
+160_s   159
+167_s   166
+168_s   167
+173_s   171
+176_s   174
+178_s   176
+181_s   179
+183_s   181
+185_s   183
+187_s   185
+191_s   189
+193_s   191
+194_s   192
+201_s   199
+206_s   204
+209_s   207
+211_s   209
+212_s   210
+213_s   211
+218_s   216
+232_s   230
+235_s   233
+249_s   247
+257_s   254
+258_s   255
+261_s   258
+266_s   263
+267_s   264
+270_s   267
+271_s   268
+276_s   273
+277_s   274
+282_s   279
+285_s   282
+294_s   290
+296_s   292
+304_s   300
+309_s   305
+311_s   307
+312_s   308
+319_s   315
+324_s   320
+327_s   323
+329_s   325
+331_s   327
+337_s   333
+338_s   334
+339_s   335
+341_s   337
+342_s   338
+344_s   340
+346_s   342
+351_s   347
+358_s   354
+369_s   365
+370_s   366
+373_s   369
+381_s   377
+385_s   381
+386_s   382
+389_s   385
+393_s   389
+394_s   390
+396_s   392
+397_s   393
+400_s   396
+404_s   400
+405_s   401
+406_s   402
+410_s   406
+412_s   408
+422_s   418
+423_s   419
+425_s   421
+426_s   422
+427_s   423
+430_s   426
+432_s   428
+435_s   431
+436_s   432
+439_s   435
+441_s   437
+449_s   445
+455_s   451

+library(methods)
+library(cluster)
+
+# Funcion para imprimir los clusters
+print_cluster <- function(obj, filename) {
+  
+  for(cl in 1:length(obj)) {
+    
+    write.table(paste("\nCluster: ", cl, "\n"), file = filename, append = TRUE, quote = FALSE, row.names = TRUE, col.names = FALSE)
+    write.table(obj[[cl]], file = filename, append = TRUE, quote = FALSE, row.names = TRUE, col.names = FALSE, sep = "   ")
+    
+  }
+}
+###################################################################################################################################################
+# Receive arguments
+arg = commandArgs(trailingOnly = T)
+
+if (length(arg)==0) {
+  stop("Must supply input file.n", call.=FALSE)
+}
+
+################################################# Run analysis ##################################################
+vecs <- read.table(arg[1], 
+                   header = F, row.names = 1, sep = ' ', 
+                   colClasses = c("character", rep("numeric", 299)))
+
+senclus <- hclust(dist(vecs), method = 'ward.D')
+print("agglomerative coefficient: ")
+print(coef.hclust(senclus))
+
+# Guardamos la imagen del dendograma original
+png("Dendogram_ward.png", height = 608, width = 975)
+plot(senclus, hang = -1)
+dev.off()
+
+###
+# Particion en dos clusters
+png("Dendogram_2clusters.png", height = 608, width = 975)
+plot(senclus, hang = -1)
+cls2 <- rect.hclust(senclus, k=2, border = 3:4)
+dev.off()
+
+# Escribir archivo
+print_cluster(cls2, "SentenceMembership_2clusters.txt")
+
+#######
+# Particion en tres clusters
+png("Dendogram_3clusters.png", height = 608, width = 975)
+plot(senclus, hang = -1)
+cls3 <- rect.hclust(senclus, k=3, border = 3:4)
+dev.off()
+
+# Escribir archivo
+print_cluster(cls3, "SentenceMembership_3clusters.txt")
+
+#####
+# Particion en cuatro clusters
+png("Dendogram_4clusters.png", height = 608, width = 975)
+plot(senclus, hang = -1)
+cls4 <- rect.hclust(senclus, k=4, border = 3:4)
+dev.off()
+
+# Escribir archivo
+print_cluster(cls4, "SentenceMembership_4clusters.txt")
+
+
+
+

+from optparse import OptionParser
+
+# Recibir input y output
+parser = OptionParser()
+parser.add_option("-i", dest="inF",help="Input vector file. Sentence is separated by tabs from values which are sparated by simple space", metavar="PATH")
+parser.add_option("-o", dest="otF",help="output file name", metavar="PATH")
+
+(options, args) = parser.parse_args()
+if len(args) > 0:
+    parser.error("Please indicate an input directory")
+    sys.exit(1)
+
+# Asignar variables
+infile = options.inF
+outfile = options.otF
+
+# Abrir nuevo archivo
+newfile = open(outfile, 'w')
+
+# Reemplazar tab por espacio
+with open(infile) as vectors:
+	for line in vectors:
+		# Aislar el numero de articulo de sus valores
+		elements = line.rstrip().split('\t')
+
+		# Ponemos una letra para facilitar la indentificacion posterior
+		index = elements[0] + '_s'
+
+		# Armar la nueva linea
+		newline = ' '.join([index,elements[1]])
+		newline = newline + '\n'
+		newfile.write(newline)
+
+newfile.close()
\ No newline at end of file