Dear All,i applied "NbClust", to my data to find optimum number of clusters,
and got following resultsNow, i don't know how to read these results. more
precisely, i would like to know, how to see which method is more precise for my
data considering these index values.your help is needed...thanks in advance
Eliza Botto
> dput(Eliza)structure(list(All.index = structure(c(2, 3, 4, 5, 6, 7, 8, 9, 10,
> 11, 12, 13, 14, 15, 1.57420409872312, 18.4369535290079, 0.575306409776012,
> 0.154801385171855, 47.0366288760456, 0.445872832260952, 0.455568929239984,
> 12.5788269491759, 0.0386469849302515, 23.895102388496, 0.160816354234123,
> 12.9919540223888, 2.08759524116452, 0.241089430470183, 297.416151736543,
> 464.769488374469, 338.423228479907, 292.029427827246, 804.090489472644,
> 704.121261336554, 672.777609724726, 771.704824305251, 704.886967155974,
> 1637.30331617449, 1592.62378687222, 2515.53485000163, 2459.80121343256,
> 2351.42304992051, 348.859869095671, 24.817368418556, 40.9436467413941,
> 674.602583838734, 17.7125560171934, 38.8962365664246, 104.394480270329,
> 10.2615719469736, 533.92169450933, 25.2998707475191, 251.899870422438,
> 21.6939745026919, 11.2543068170719, 47.9401160432539, -1.29296216290655,
> -0.153576035293354, -15.1277587386182, -26.2504749449924, -8.30280121573777,
> -21.4495487319108, -31.205204175!
4071, -37.3584950924371, -52.8630342251606, -28.8420565654422,
-39.4772702353802, -27.4975992255595, -37.1694902143288, -47.0611352417292,
4470.82582378056, 5652.61428200161, 6657.10213380534, 7626.6542341511,
9709.78717922395, 10492.6027792722, 11363.0474699657, 12569.8778385524,
13375.6692277489, 16105.7574047064, 16886.4935533148, 19452.1016892151,
20186.2665993494, 20708.871997043, 3.86358973845453e-33, 3.41212562218986e-34,
3.87003353669227e-35, 4.24536688760292e-36, 2.03079632739029e-38,
3.23689382566318e-39, 3.89417589972595e-40, 1.80624240993069e-41,
2.45200768790714e-42, 1.67462482735703e-45, 2.34713129427433e-46,
2.43993442738993e-49, 3.78619474451024e-50, 1.03826559344228e-50,
615757.608490007, 180850.147404662, 180995.942866573, 179910.500088931,
14555.2426670964, 14717.6392214783, 14186.7996246779, 9000.27954788353,
8957.22836555238, 772.692045668886, 780.445430971259, 158.329688341546,
160.428946524798, 159.003101192236, 10441.9807991339, 5324.69829336057, 498!
3.07713037029, 4475.48022875222, 1557.286737457, 1484.06505123643, 133
8.62516041702, 1035.74967344404, 1006.73101408373, 402.048360623033,
375.231131452962, 218.972752152175, 206.260774903157, 199.852784711175,
1530119.93023483, 1811898.25338871, 1887814.51987347, 1994550.95198392,
2388148.89698239, 2430622.46091191, 2513176.59107131, 2674815.54111669,
2731024.5787791, 2938756.02652003, 3022747.48456965, 3305208.19452781,
3353454.52067323, 3418377.34154569, 3.14762028387024, 6.17262965079545,
6.59580209321284, 7.34388018429498, 21.1055483724268, 22.1468665000597,
24.5530948760132, 31.7329480373842, 32.6476388502359, 81.7498435168459,
87.5923872304225, 150.098084095395, 159.348720485362, 164.45800650032,
0.0396998319258255, 0.0319014822350574, 0.024006786064384, 0.0177896743286195,
0.0245608609854537, 0.0213221849308341, 0.0188364058490061, 0.0178543950865835,
0.0142249001990399, 0.0279973201567235, 0.0252621736653493, 0.049249228694216,
0.0458030019090286, 0.0424336043605002, 1.03209654082009, 0.85776078139342,
0.808285376692938, 0.82796216088!
7827, 0.652265524685472, 0.627719864467096, 0.634975531419761,
0.619092255300249, 0.621502228794555, 0.57407105156191, 0.57342640713081,
0.516368032291172, 0.521802004741694, 0.528151757935478, 0.639863849888623,
0.667710541684315, 0.526570687199653, 0.536321722606211, 0.555893652778884,
0.525733777689673, 0.525966328794268, 0.534053781954509, 0.5136181493184,
0.516765916712589, 0.50946844315943, 0.512642751123238, 0.508492819487427,
0.48662409635069, 0.486245612996616, 0.290386507889613, 0.316594102412316,
0.28833814338504, 0.262385907591069, 0.267278803385175, 0.250715328847424,
0.284005984587444, 1.91021096125568, 0.268411129135178, 3.47007660562911,
0.250739255429542, 0.271578770632591, 0.284943056019059, 114.109973053374,
618.252599987101, 185.641194023248, 49.3630047180142, 264.25094748038,
120.622107861624, 47.817398296125, 395.805252424745, -0.952995223791775,
109.025117285115, -0.71182192393741, 122.516478222617, 217.256008049988,
47.6799895580862, 28.1759987730415!
, 65.5110333081407, 57.4298015157435, 63.2651449439273, 74.86436800995
94, 72.1434014080044, 75.7040713311397, 67.422783949612, -8.54971590889367,
71.5689953197867, -9.57907512354445, 78.5104431653933, 71.3083122977204,
64.1635480037395, 0.513173098143002, 0.505825796504413, 0.444757635205586,
0.406312387465117, 0.394407251445818, 0.366149275314147, 0.344176385731019,
0.326391288813892, 0.309993383138249, 0.298721710255341, 0.286286842800196,
0.275803308768241, 0.265893405878566, 0.256936049785737, 5220.99039956694,
1774.89943112019, 1245.76928259257, 895.096045750443, 259.547789576166,
212.009293033775, 167.328145052127, 115.083297049338, 100.673101408373,
36.5498509657302, 31.2692609544134, 16.8440578578596, 14.7329124930826,
13.3235189807449, 0.49660180334757, 0.57353135097463, 0.392736075114096,
0.393714306116361, 0.401140174202499, 0.376099792844107, 0.374513343015673,
0.37588192583016, 0.284074966170631, 0.284454729894057, 0.279913553936566,
0.280034687887139, 0.273974739308621, 0.245534003353111, -0.537028819595081,
6.75731204843176, 0.4!
06436992576936, -0.306261113848915, 2.51984766101113, 0.501850750103255,
-0.0359986971665043, 5.94246412644904, -0.135653081702667, 0.800670624533482,
-0.0942630682785411, 1.43549353116631, 5.83542066108476, 0.299190959394084,
0.173893686201653, 0.130989150783957, 0.34877016394159, 0.302200657344367,
0.269621909478454, 0.289196675575301, 0.268300191472161, 0.255895562440658,
0.416873589341489, 0.410224043256382, 0.391814052474847, 0.389258215445371,
0.385408069477628, 0.461998930312754, 0.00126405603211251, 0.00146279387749665,
0.000560332223435682, 0.000560332223435682, 0.000868740719922275,
0.000868740719922275, 0.000868740719922275, 0.000868740719922275,
0.000513066627788583, 0.00102640698148799, 0.00102640698148799,
0.00201404529301473, 0.00201404529301473, 0.00201404529301473,
6.11251045740907e-05, 9.23587958178484e-05, 9.5507397235258e-05,
9.71674018785666e-05, 0.000106649672390673, 0.000106787712156634,
0.000107289322176592, 0.000108064381655899, 0.00010941515061707,!
0.000110604774530915, 0.000110650643305889, 0.000110870221162649, 0.0
00110881420487267, 0.000111069269240061, 7.87698487452959, 13.227190391416,
10.7925812277975, 8.88825576339835, 9.97606673676893, 9.5829249327969,
8.79401281666407, 7.72767897036159, 9.37930449956192, 6.15801904438719,
6.33725857346263, 4.55900467152919, 4.76229191279183, 7.28629826851485,
2.63957888032012, 2.0002167534261, 1.61747170530746, 1.33706583202264,
1.07247012633201, 0.958384657068085, 0.849369741865532, 0.751437106579533,
0.65721933670568, 0.578590352818106, 0.533538768635437, 0.492809430900979,
0.460256212687998, 0.429739239039856, 1.34223839535836, 2.5427019818222,
4.64335591878426, 5.11886735138927, 5.73903532522373, 9.34217906322081,
10.0206152177721, 10.8619565630105, 14.4061191196136, 11.5009302302327,
11.4354504725043, 9.81630489708226, 11.4888894787433, 13.4520320109466), .Dim =
c(14L, 27L), .Dimnames = list( c("2", "3", "4", "5", "6", "7", "8", "9",
"10", "11", "12", "13", "14", "15"), c("nc.Ward", "index.KL", "index.CH",
"index.Hartigan", "ind!
ex.CCC", "index.Scott", "index.Marriot", "index.TrCovW", "index.TraceW",
"index.Friedman", "index.Rubin", "index.Cindex", "index.DB",
"index.Silhouette", "index.Duda", "index.Pseudot2", "index.Beale",
"index.Ratkowsky", "index.Ball", "index.ptbiserial", "index.Frey",
"index.McClain", "index.Dunn", "index.Hubert", "index.SDindex",
"index.Dindex", "index.SDbw"))), All.CriticalValues = structure(c(2, 3, 4, 5,
6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0.914000830612667, 0.937766785534327,
0.905827446964113, 0.828408045832635, 0.909123414786052, 0.876165895064211,
0.812066111397506, 0.925650813821241, 0.620117668912417, 0.871182750461693,
0.563941389391564, 0.872493486752618, 0.903529636828181, 0.824764281366631,
10.1618182202374, 16.7898922234103, 8.94081934504153, 4.14269163682246,
9.39630293442772, 6.21880017000134, 3.70282933302707, 12.6103948225117,
1.22519434659501, 5.91459137454402, 0.773233919005128, 5.99175480678967,
8.64841516914552, 4.03688511888159, 0, !
0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0), .Dim = c(14L, 4L), .Dimnames =
list( c("2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13",
"14", "15"), c("nc.CritValue", "CritValue_Duda", "CritValue_PseudoT2",
"Fvalue_Beale"))), Best.nc = structure(c(6, 47.0366, 13, 2515.5349, 6, 656.89,
3, -0.1536, 11, 2730.0882, 3, 0, 3, 434907.4611, 3, 4775.6613, 6, 393597.945,
13, -53.2551, 10, 0.0142, 13, 0.5164, 3, 0.6677, 10, 1.9102, 10, -0.953, 10,
-8.5497, 2, 0.5132, 3, 3446.091, 3, 0.5735, 3, 6.7573, 3, 0.131, 13, 0.002, 0,
0, 13, 4.559, 0, 0, 2, 1.3422), .Dim = c(2L, 26L), .Dimnames = list(
c("Number_clusters", "Value_Index"), c("index.KL", "index.CH",
"index.Hartigan", "index.CCC", "index.Scott", "index.Marriot",
"index.TrCovW", "index.TraceW", "index.Friedman", "index.Rubin",
"index.Cindex", "index.DB", "index.Silhouette", "index.Duda",
"index.PseudoT2", "index.Beale", "index.Ratkowsky", "index.Ball",
"index.PtBiserial", "index.Frey", "index.McClain", "index.Dunn",
"index.Hubert", "index.SDindex", "index.D!
index", "index.SDbw" )))), .Names = c("All.index", "All.CriticalValues",
"Best.nc"))
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