CLARANS-A Method for Clustering Objects for Spatial Data MiningTKDE02

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    0.2

    0.4

    0.6

    0.8

    1

    1 1.25 1.5 1.75 2

    relative

    runtime

    percentage of neighbors

    r2000-20r3000-20

    base case

    1

    1.01

    1.02

    1.03

    1.04

    1.05

    1 1.25 1.5 1.75 2

    relative

    average

    distance

    percentage of neighbors

    r2000-20r3000-20

    base case

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    40 60 80 100

    runtime

    (in

    seconds)

    number of objects

    CLARANSPAM

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    1.05

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    1.15

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    1.3

    1000 2000 3000

    relative

    average

    distance

    number of objects

    CLARANS(5 clus)

    (10 clus)(20 clus)

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    5

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    15

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    25

    4 8 12 16 20 24 28

    runtime

    (in

    millisecs)

    number of vertices

    exactMV-approxIR-approx

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    500

    1000

    1500

    2000

    2500

    20 40 60 80 100

    runtime

    (in

    seconds)

    number of polygons

    exactMV-approxIR-approx

    500

    1000

    1500

    2000

    2500

    20 40 60 80 100

    runtime

    (in

    seconds)

    number of polygons

    exactMV-approxIR-approx

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    number of polygons

    exactMV-approxIR-approx

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