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https://issues.apache.org/jira/browse/MADLIB-1086?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Frank McQuillan updated MADLIB-1086:
------------------------------------
Priority: Minor (was: Major)
> Unnest 2-D array by one level (i.e. into rows of 1-D arrays)
> ------------------------------------------------------------
>
> Key: MADLIB-1086
> URL: https://issues.apache.org/jira/browse/MADLIB-1086
> Project: Apache MADlib
> Issue Type: New Feature
> Components: Module: Utilities
> Reporter: Frank McQuillan
> Priority: Minor
> Fix For: v1.11
>
>
> Context
> Currently k-means returns the following
> {code}
> centroids |
> {{13.7533333333333,1.905,2.425,16.0666666666667,90.3333333333333,2.805,2.98,0.29,2.005,5.40663333333333,1.04166666666667,
> 3.31833333333333,1020.83333333333},
>
> {14.255,1.9325,2.5025,16.05,110.5,3.055,2.9775,0.2975,1.845,6.2125,0.9975,3.365,1378.75}}
> cluster_variance | {122999.110416013,30561.74805}
> objective_fn | 153560.858466013
> frac_reassigned | 0
> num_iterations | 3
> {code}
> Story
> As a data scientist, I want to unnest 2-D array by one level (i.e. into rows
> of 1-D arrays) in K-means, so that I can get one centroid per row for follow
> on operations.
> Acceptance
> 1) Add function to array operations
> http://madlib.incubator.apache.org/docs/latest/group__grp__array.html
> 2) Add an example in k-means
> http://madlib.incubator.apache.org/docs/latest/group__grp__kmeans.html
> to demonstrate usage
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