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50 dudahart2 Value Vector of density values for values of alpha. Author(s) Christian Hennig http://www.homepages.ucl.ac.uk/~ucakche/ References Ray, S. and Lindsay, B. G. (2005) The Topography of Multivariate Normal Mixtures, Annals of Statistics, 33, 2042-2065. Examples q
extract.mixturepars 51 Author(s) Christian Hennig http://www.homepages.ucl.ac.uk/~ucakche References Duda, R. O. and Hart, P. E. (1973) Pattern Classification and Scene Analysis. Wiley, New York. See Also cluster.stats Examples set.seed(98765) iriss
Page 1 and 2: Title Flexible procedures for clust
Page 3 and 4: fpc-package 3 mergenormals . . . .
Page 5 and 6: adcoord 5 Author(s) Christian Henni
Page 7 and 8: ancoord 7 ancoord Asymmetric neighb
Page 9 and 10: awcoord 9 Arguments xd clvecd clnum
Page 11 and 12: atcoord 11 dom string. dom="mean" m
Page 13 and 14: hattacharyya.matrix 13 References F
Page 15 and 16: can 15 See Also cluster.stats Examp
Page 17 and 18: classifdist 17 Examples set.seed(77
Page 19 and 20: clucols 19 clucols Sets of colours
Page 21 and 22: cluster.stats 21 Arguments n p cn i
Page 23 and 24: cluster.stats 23 Value cluster.stat
Page 25 and 26: cluster.varstats 25 See Also silhou
Page 27 and 28: clusterboot 27 fcc
Page 29 and 30: clusterboot 29 subtuning clustermet
Page 31 and 32: clusterboot 31 Value dbscanCBI an i
Page 33 and 34: cmahal 33 Arguments n p nmin cmin n
Page 35 and 36: confusion 35 # The same should be p
Page 37 and 38: cweight 37 Examples x
Page 39 and 40: dbscan 39 Details Value Clusters re
Page 41 and 42: diptest.multi 41 References J. A. H
Page 43 and 44: discrete.recode 43 Author(s) Christ
Page 45 and 46: discrproj 45 Usage discrproj(x, clv
Page 47 and 48: distancefactor 47 Arguments cat n c
Page 49: dridgeline 49 References Halkidi, M
Page 53 and 54: fixmahal 53 ## S3 method for class
Page 55 and 56: fixmahal 55 Details Value A (crisp)
Page 57 and 58: fixmahal 57 calpha pointit subset m
Page 59 and 60: fixreg 59 Usage linear regression r
Page 61 and 62: fixreg 61 pch col gv Details Value
Page 63 and 64: fixreg 63 sim coef var g coll vecto
Page 65 and 66: flexmixedruns 65 Details Value disc
Page 67 and 68: fpclusters 67 fpclusters Extracting
Page 69 and 70: kmeansCBI 69 Arguments x jitterv fa
Page 71 and 72: kmeansCBI 71 k scaling runs criteri
Page 73 and 74: kmeansCBI 73 Value claraCBI an inte
Page 75 and 76: kmeansruns 75 Value iter.max runs s
Page 77 and 78: localshape 77 Details Value The dat
Page 79 and 80: mahalanofix 79 Arguments x2 mg covg
Page 81 and 82: mahalconf 81 mahalconf Mahalanobis
Page 83 and 84: mergenormals 83 numberstop renumber
Page 85 and 86: mergeparameters 85 Tantrum, J., Mur
Page 87 and 88: mixdens 87 Arguments n positive int
Page 89 and 90: mixpredictive 89 Details The predic
Page 91 and 92: ncoord 91 See Also plotcluster for
Page 93 and 94: nselectboot 93 nselectboot Selectio
Page 95 and 96: pamk 95 Arguments data krange crite
Page 97 and 98: piridge.zeroes 97 Author(s) Christi
Page 99 and 100: plotcluster 99 "arc" asymmetric dis
Page 101 and 102:
prediction.strength 101 Arguments x
Page 103 and 104:
andconf 103 Value An n*cln-matrix.
Page 105 and 106:
egmix 105 Details The result of the
Page 107 and 108:
Face 107 Arguments n p nrep.top smi
Page 109 and 110:
idgeline.diagnosis 109 ridgeline.di
Page 111 and 112:
solvecov 111 Arguments fpcobj an ob
Page 113 and 114:
tdecomp 113 tdecomp Root of singula
Page 115 and 116:
weightplots 115 Arguments y numeric
Page 117 and 118:
zmisclassification.matrix 117 Argum
Page 119 and 120:
Index ∗Topic arith can, 15 cweigh
Page 121 and 122:
INDEX 121 dip.test, 40, 41, 83 dipp
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