Manifold Learning with Approximate Nearest Neighbors

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# Manifold Learning with Approximate Nearest Neighbors
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Presented by Fan Cheng (Monash University)

Rob J Hyndman (Monash University) Anastasios Panagiotelis (University of Sydney)

Department of Econometrics and Business Statistics

Fan.Cheng@monash.edu &nbsp;
 @fanchengfc

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Australian and New Zealand Statistical Conference (ANZSC) July 6, 2021
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# Manifold Learning with Approximate Nearest Neighbors

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# Outline

- Motivation

- Manifold learning

- Approximate nearest neighbors

- Embedding quality measures

- MNIST data results

- Application to smart meter data

- Conclusions

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# Irish Smart Meter Data

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- Problem of interest: electricity usage patterns of households
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- Typical/anomalous households in distributions
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- Half-hourly data for 535 days in 3639 households
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- Empirical discrete distributions: `\(48 \times 7=336\)` distributions per household
]]
]
]

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