ranking-class: Class "ranking"

Description Objects from the Class Slots Extends Methods Author(s) See Also Examples

Description

Object of the class "ranking" are created from the ranking function and extend the class matrix

Objects from the Class

Objects can be created by calls of the form new("ranking", ...).

Slots

.Data:

Object of class "matrix" containing the data ranking and scores

convergence:

Object of class "matrix" containing the convergence matrix

edgegraph:

Object of class "matrix" containing the edgegraph

Extends

Class "matrix", directly.

Methods

show

signature(object = "ranking"): displays the ranking score matrix

Author(s)

Alexandros Karatzoglou
alexandros.karatzoglou@ci.tuwien.ac.at

See Also

ranking

Examples

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data(spirals)

## create data set to be ranked
ran<-spirals[rowSums(abs(spirals)<0.55)==2,]

## rank points according to "relevance" to point 54 (up left)
ranked<-ranking(ran,54,kernel="rbfdot",
                kpar=list(sigma=100),edgegraph=TRUE)

ranked
edgegraph(ranked)[1:10,1:10]

Example output

Ranking object of class "ranking" 

      [,1]        [,2] [,3]
 [1,]    1 0.501933954   22
 [2,]    2 0.003693627   50
 [3,]    3 0.002223344   65
 [4,]    4 0.003438816   53
 [5,]    5 0.003918642   48
 [6,]    6 0.003970762   46
 [7,]    7 0.590867827   19
 [8,]    8 0.003992904   45
 [9,]    9 0.003954118   47
[10,]   10 0.003613429   52
[11,]   11 0.003771499   49
[12,]   12 0.708139398    7
[13,]   13 0.003649062   51
[14,]   14 0.003361168   54
[15,]   15 0.003339789   55
[16,]   16 0.003278750   56
[17,]   17 0.003089340   57
[18,]   18 0.003011486   58
[19,]   19 0.300192835   42
[20,]   20 0.002853653   59
[21,]   21 0.001417890   85
[22,]   22 0.002676371   60
[23,]   23 0.002584547   61
[24,]   24 0.002416572   62
[25,]   25 0.698754734    8
[26,]   26 0.002352778   63
[27,]   27 0.002268396   64
[28,]   28 0.002050746   66
[29,]   29 0.629586956   17
[30,]   30 0.002007343   67
[31,]   31 0.805769796    2
[32,]   32 0.001954349   68
[33,]   33 0.001817912   69
[34,]   34 0.001721578   71
[35,]   35 0.680673676   11
[36,]   36 0.001452053   84
[37,]   37 0.424161568   39
[38,]   38 0.001457811   83
[39,]   39 0.001464430   82
[40,]   40 0.001519561   78
[41,]   41 0.001484902   80
[42,]   42 0.001515801   79
[43,]   43 0.001532059   77
[44,]   44 0.766982591    3
[45,]   45 0.001639013   73
[46,]   46 0.001595997   75
[47,]   47 0.001739823   70
[48,]   48 0.454830310   32
[49,]   49 0.001595851   76
[50,]   50 0.496213855   23
[51,]   51 0.001711609   72
[52,]   52 0.001621874   74
[53,]   53 0.001477896   81
[54,]   54          NA   NA
[55,]   55 0.503425922   21
[56,]   56 0.433022692   36
[57,]   57 0.469598796   29
[58,]   58 0.449585799   33
[59,]   59 0.646713361   13
[60,]   60 0.447782056   35
[61,]   61 0.692159399   10
[62,]   62 0.739738982    4
[63,]   63 0.492684712   25
[64,]   64 0.640261723   16
[65,]   65 0.456652115   31
[66,]   66 0.472051696   27
[67,]   67 0.082113192   44
[68,]   68 0.082459425   43
[69,]   69 0.711411130    6
[70,]   70 0.854180259    1
[71,]   71 0.473332566   26
[72,]   72 0.666963465   12
[73,]   73 0.428522596   38
[74,]   74 0.616040842   18
[75,]   75 0.470121130   28
[76,]   76 0.695360887    9
[77,]   77 0.529795623   20
[78,]   78 0.448211361   34
[79,]   79 0.494033650   24
[80,]   80 0.362389662   40
[81,]   81 0.643533575   15
[82,]   82 0.723582546    5
[83,]   83 0.354941741   41
[84,]   84 0.459391239   30
[85,]   85 0.645278916   14
[86,]   86 0.432438191   37

edgegraph matrix included. 
       [,1] [,2] [,3]  [,4]  [,5]  [,6]  [,7]  [,8]  [,9] [,10]
 [1,]  TRUE TRUE TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
 [2,]  TRUE TRUE TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE
 [3,]  TRUE TRUE TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE
 [4,] FALSE TRUE TRUE  TRUE  TRUE  TRUE FALSE  TRUE  TRUE  TRUE
 [5,] FALSE TRUE TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE
 [6,] FALSE TRUE TRUE  TRUE  TRUE  TRUE FALSE  TRUE  TRUE  TRUE
 [7,]  TRUE TRUE TRUE FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE
 [8,] FALSE TRUE TRUE  TRUE  TRUE  TRUE FALSE  TRUE  TRUE  TRUE
 [9,] FALSE TRUE TRUE  TRUE  TRUE  TRUE FALSE  TRUE  TRUE  TRUE
[10,] FALSE TRUE TRUE  TRUE  TRUE  TRUE FALSE  TRUE  TRUE  TRUE

kernlab documentation built on Nov. 12, 2019, 9:07 a.m.