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Cardinality part 2: proof & kth minimum value
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We derive the equation that explains why the "hat-problem" gives an estimate for cardinality. Seeing that we might get a better estimate if we use more than one minimal value, we discuss the "kth minimum value" (KMV) variant and how it uses averaging to obtain a better estimate. Finally, we briefly discuss different ways to use one or more hash functions to get k samples.
These materials are also openly available on figshare. Please cite this work; this ensures that funding agencies see the impact and importance of these open learning materials.
Channel: @BenLangmead
These materials are also openly available on figshare. Please cite this work; this ensures that funding agencies see the impact and importance of these open learning materials.
Channel: @BenLangmead
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Cardinality part 2: proof & kth minimum value
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