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Timeline for Using k-means with other metrics

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Apr 13, 2017 at 12:44 history edited CommunityBot
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May 12, 2015 at 6:11 answer added Douglas De Rizzo Meneghetti timeline score: 3
Aug 21, 2014 at 19:04 answer added Danica timeline score: 1
Aug 21, 2014 at 16:40 answer added Has QUIT--Anony-Mousse timeline score: 4
Aug 21, 2014 at 16:19 comment added Has QUIT--Anony-Mousse @ttnphns I disagree with (2). That is Lloyds algorithm, not generic k-means. K-means in general means minimizing the sum-of-squares-partitions objective. What you described is the generic expect-maximize (EM) pattern; and Lloyds is the EM pattern for least-squares models.
Aug 21, 2014 at 15:16 comment added ttnphns In its strict sense, K-means procedure implies (1) objects by (numeric) features input matrix; (2) iterative reassignment of objects to clusters by computing Euclidean distance between objects and cluster centres (which are cluster means). Everything above or istead of that - e.g. analyzing a matrix of pairwise distances or making use of other metric than Euclidean or computing other form of centre than the mean, etc. - extends or modifies K-means so it becomes not k-means in the original sense.
Aug 21, 2014 at 14:59 comment added ttnphns Scooby Thanks for interesting links. The first paper (which I've just looked through on the fly) describes a (supposedly) new clustering method/algorithm which is based on the idea of triangle inequality of a metric. It is not what people mean under the term k-Means method/algorithm. So the title of the article is somewhat misleading, for me. The proposed "triangle inequality" clustering method, when applied to Euclidean distance metric, should give results identical to what "K-means" method would give, as the author claims.
Aug 21, 2014 at 7:33 history tweeted twitter.com/#!/StackStats/status/502357908760567808
Aug 21, 2014 at 4:08 history edited ScoobySnacks CC BY-SA 3.0
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Aug 21, 2014 at 1:13 history edited ScoobySnacks CC BY-SA 3.0
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Aug 21, 2014 at 0:38 comment added ttnphns The 2nd link duplicates the 1st.
Aug 20, 2014 at 22:14 review First posts
Aug 20, 2014 at 22:18
Aug 20, 2014 at 22:13 history asked ScoobySnacks CC BY-SA 3.0