[SPARK-2308] Add KMeans MiniBatch clustering algorithm to MLlib

• Type: New Feature
• Status: Resolved
• Priority: Minor
• Resolution: Won't Fix
• Component/s: MLlib
• Labels: clustering
• Assignee: R J Nowling
• Reporter: R J Nowling
• Created: 27/Jun/14 18:57
• Updated: 01/Apr/16 15:05
• Resolved: 02/Mar/15 23:00

Description

Mini-batch is a version of KMeans that uses a randomly-sampled subset of the data points in each iteration instead of the full set of data points, improving performance (and in some cases, accuracy). The mini-batch version is compatible with the KMeans|| initialization algorithm currently implemented in MLlib.

I suggest adding KMeans Mini-batch as an alternative.

I'd like this to be assigned to me.

Issue Links

• is duplicated by: SPARK-14174 Implement the Mini-Batch KMeans
• links to: [Github] Pull Request #1248 (rnowling)