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<ri:Resource created="1999-10-11T09:18:47Z" status="active" updated="2025-05-19T09:50:00Z" version="1.2" xmlns:cs="http://www.ivoa.net/xml/ConeSearch/v1.0" xmlns:ri="http://www.ivoa.net/xml/RegistryInterface/v1.0" xmlns:vr="http://www.ivoa.net/xml/VOResource/v1.0" xmlns:vs="http://www.ivoa.net/xml/VODataService/v1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.ivoa.net/xml/ConeSearch/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/ConeSearch.xsd http://www.ivoa.net/xml/VOResource/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/VOResource.xsd http://www.ivoa.net/xml/VODataService/v1.1 http://vo.ari.uni-heidelberg.de/docs/schemata/VODataService.xsd" xsi:type="vs:CatalogService"><title>Moving Star Clusters in the Solar Neighborhood</title><shortName>J/AZh/72/495</shortName><identifier>ivo://CDS.VizieR/J/AZh/72/495</identifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Orlov V.V.</name></creator><creator><name>Panchenko I.E.</name></creator><creator><name>Rastorguev A.S.</name></creator><creator><name>Yatsevich A.V.</name></creator><date role="Updated">1999-10-11T09:19:28Z</date><date role="Created">1999-10-11T09:18:47Z</date><contact><name>CDS support team</name><address>CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France</address><email>cds-question@unistra.fr</email></contact></curation><content><subject>stellar-associations</subject><description>Two cluster analysis algorithms - the principal stars method and the hierarchical clustering method - are used to identify moving star clusters in a sample of 1947 single and multiple stars in the nearby solar neighborhood with known space velocities from the Gliese and Jahreiss (Cat. &lt;V/70&gt;) catalog. Five rich moving clusters containing from 35 to 40 stars with velocities differing by not more than 6 km/s from the centroid value have been reliably identified. In addition, seven poor clusters have been identified with less confidence. Rich moving clusters include about 10% of all stars with known space velocities. Table 1: Summary on data for 12 moving clusters identified using the principal stars algorithm ------------------------------------------------------------------------ N &lt;U&gt; &lt;V&gt; &lt;W&gt; K km/s km/s km/s ------------------------------------------------------------------------ 1 +13.5 +2.8 -8.5 35 2 -14.2 -21.7 -10.2 35 3 -18.3 -9.0 -2.7 33 4 -31.0 -12.1 -11.5 32 5 -30.1 -11.5 +1.4 28 6 +14.8 -14.1 -15.4 16 7 -36.4 -27.5 -9.8 14 8 +17.6 -30.9 -0.3 10 9 -8.2 -33.4 -0.5 9 10 -38.1 -18.9 +7.5 9 11 +11.5 -21.9 -22.3 8 12 -1.9 -30.3 -6.5 8 ------------------------------------------------------------------ Table 2: List of rich moving clusters identified by the hierarchical clustering method -------------------------------------------------------------- No. &lt;U&gt; &lt;V&gt; &lt;W&gt; K c km/s km/s km/s km/s -------------------------------------------------------------- 1 -40.5 -17.5 -3.4 31 6 2 +13.5 +3.4 -7.4 29 6 3 -12.5 -19.0 -9.0 25 6 4 -21.5 -9.3 -4.2 21 6 5 -14.7 -8.6 -0.1 20 6 6 -34.7 -15.7 -10.3 18 6 7 -28.7 -13.1 -8.1 18 6 8 -16.7 -23.7 -10.7 18 6 9 +6.2 -2.3 0.0 34 8 10 -29.9 -11.8 +2.1 31 8 -------------------------------------------------------------- Table 3: Nearby open cluster data ---------------------------------------------------------- N Name OCL U V W R Age km/s km/s km/s pc 10^+7^yrs ---------------------------------------------------------- 1 Pleiades 421 -6.2 -23.7 -13.4 125 5 2 Hyades 456 -43.1 -17.2 -4.2 43 80 3 Praesepe 501 -37.8 -21.0 -7.6 160 70 4 IC 2391 767 -18.1 -13.4 -6.1 150 3 5 IC 2602 838 -1.8 -26.4 -0.1 150 1 6 Coma 558 -1.6 -7.4 -0.8 80 40 7 a Per 392 -12.6 -22.0 -2.4 180 4 8 UMa 252 +14.2 -0.4 -11.8 20 50 9 Cr 399 113 -9.9 -30.7 -3.0 120 30 ----------------------------------------------------------</description><source 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