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, -31.2052041754071, -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, 4983.07713037029, 4475.48022875222, 1557.286737457,
1484.06505123643, 1338.62516041702, 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, 0.827962160887827, 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, 74.8643680099594,
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, 0.406436992576936, -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, 0.000110881420487267, 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", "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.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.Dindex", "index.SDbw" )))), .Names =
c("All.index", "All.CriticalValues", "Best.nc"))
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