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JKISeasor2-29_​tomljh_​ver2

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Challenge 29: Table Tennis Tournament

Challenge 29: Table Tennis TournamentLevel: MediumDescription: You work for a Berlin startup and it's Friday night. A table tennis tournamentwith your colleagues is due! The following problem comes up: how to randomly split allyour co-workers in random teams of two players, and then randomly define the directelimination matches as a dendrogram? Hint: You can use the Hierarchical ClusterAssigner in this challenge.Author: Paolo Tamagnini 挑战29:乒乓球比赛水平: 中等描述:你在柏林的一家创业公司工作,现在是星期五晚上。与您的同事一起举办乒乓球比赛!出现了以下问题:如何将所有同事随机分成两个玩家的随机团队,然后将直接淘汰赛随机定义为树状图?提示:您可以在此质询中使用分层集群分配器。作者: Paolo Tamagnini Methd 1: using 'Score' as the distance Methd 2:Use 'counter' as the distance Note: 'counter' is a set of sequential numbers that are uniformdistribution. Read DataUsing Euclidean distanceShuffle Row1.Using Euclidean distance2.Use 'counter' as the distanceShow match mapsSet the number of clusters = 20 teams / 2 =10Refers to the table of the first round of matches,the same category represents a competition. CSV Reader Distance MatrixCalculate Hierarchical Clustering(DistMatrix) HierarchicalCluster View Shuffle Counter Generation Distance MatrixCalculate Hierarchical Clustering(DistMatrix) HierarchicalCluster View RowID HierarchicalCluster Assigner Challenge 29: Table Tennis TournamentLevel: MediumDescription: You work for a Berlin startup and it's Friday night. A table tennis tournamentwith your colleagues is due! The following problem comes up: how to randomly split allyour co-workers in random teams of two players, and then randomly define the directelimination matches as a dendrogram? Hint: You can use the Hierarchical ClusterAssigner in this challenge.Author: Paolo Tamagnini 挑战29:乒乓球比赛水平: 中等描述:你在柏林的一家创业公司工作,现在是星期五晚上。与您的同事一起举办乒乓球比赛!出现了以下问题:如何将所有同事随机分成两个玩家的随机团队,然后将直接淘汰赛随机定义为树状图?提示:您可以在此质询中使用分层集群分配器。作者: Paolo Tamagnini Methd 1: using 'Score' as the distance Methd 2:Use 'counter' as the distance Note: 'counter' is a set of sequential numbers that are uniformdistribution. Read DataUsing Euclidean distanceShuffle Row1.Using Euclidean distance2.Use 'counter' as the distanceShow match mapsSet the number of clusters = 20 teams / 2 =10Refers to the table of the first round of matches,the same category represents a competition. CSV Reader Distance MatrixCalculate Hierarchical Clustering(DistMatrix) HierarchicalCluster View Shuffle Counter Generation Distance MatrixCalculate Hierarchical Clustering(DistMatrix) HierarchicalCluster View RowID HierarchicalCluster Assigner

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