Why don't we use training/observation data's vector similarity for building models on Tabular data? or if we...












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Considering , we get a new observation, we try to find a 100 similar vectors from the training data and average the labels from them to get the prediction.










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  • $begingroup$
    It is done, it is called clustering. Look for KNN or K-mean algorithms.
    $endgroup$
    – Mark.F
    14 hours ago
















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Considering , we get a new observation, we try to find a 100 similar vectors from the training data and average the labels from them to get the prediction.










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Sidharth Mallick is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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  • $begingroup$
    It is done, it is called clustering. Look for KNN or K-mean algorithms.
    $endgroup$
    – Mark.F
    14 hours ago














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0





$begingroup$


Considering , we get a new observation, we try to find a 100 similar vectors from the training data and average the labels from them to get the prediction.










share|improve this question







New contributor




Sidharth Mallick is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$




Considering , we get a new observation, we try to find a 100 similar vectors from the training data and average the labels from them to get the prediction.







machine-learning vector-space-models






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asked 15 hours ago









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  • $begingroup$
    It is done, it is called clustering. Look for KNN or K-mean algorithms.
    $endgroup$
    – Mark.F
    14 hours ago


















  • $begingroup$
    It is done, it is called clustering. Look for KNN or K-mean algorithms.
    $endgroup$
    – Mark.F
    14 hours ago
















$begingroup$
It is done, it is called clustering. Look for KNN or K-mean algorithms.
$endgroup$
– Mark.F
14 hours ago




$begingroup$
It is done, it is called clustering. Look for KNN or K-mean algorithms.
$endgroup$
– Mark.F
14 hours ago










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