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        <identifier>oai:drops-oai.dagstuhl.de:21080</identifier>
        <datestamp>2024-09-23T09:13:16Z</datestamp>
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          <dc:title>On Connections Between k-Coloring and Euclidean k-Means</dc:title>
          <dc:creator>Aman, Enver</dc:creator>
          <dc:creator>Karthik C. S.</dc:creator>
          <dc:creator>Punna, Sharath</dc:creator>
          <dc:subject>k-means</dc:subject>
          <dc:subject>k-minsum</dc:subject>
          <dc:subject>Euclidean space</dc:subject>
          <dc:subject>fine-grained complexity</dc:subject>
          <dc:description>In the Euclidean k-means problems we are given as input a set of n points in ℝ^d and the goal is to find a set of k points C ⊆ ℝ^d, so as to minimize the sum of the squared Euclidean distances from each point in P to its closest center in C. In this paper, we formally explore connections between the k-coloring problem on graphs and the Euclidean k-means problem. Our results are as follows:  &#13;
- For all k ≥ 3, we provide a simple reduction from the k-coloring problem on regular graphs to the Euclidean k-means problem. Moreover, our technique extends to enable a reduction from a structured max-cut problem (which may be considered as a partial 2-coloring problem) to the Euclidean 2-means problem. Thus, we have a simple and alternate proof of the NP-hardness of Euclidean 2-means problem. &#13;
- In the other direction, we mimic the O(1.7297ⁿ) time algorithm of Williams [TCS'05] for the max-cut of problem on n vertices to obtain an algorithm for the Euclidean 2-means problem with the same runtime, improving on the naive exhaustive search running in 2ⁿ⋅ poly(n,d) time. &#13;
- We prove similar results and connections as above for the Euclidean k-min-sum problem.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Enver Aman and Karthik C. S. and Sharath Punna</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 308, 32nd Annual European Symposium on Algorithms (ESA 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ESA.2024.9</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-210808</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2024.9</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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