2b:null 2c:["$","title",null,{"children":"CMS Stars Measure Simulation | William Pang | Observable"}] 31:[{"id":"d326ddf0262551aad75cf643722cb34244512e55ab43e9ff15c862c4a1dfe69ad2b4bd8cb307bfe7c08b84aa7bf48e4e901916c79bbb62b8e5c812bd3ccca370","href":"https://static.observableusercontent.com/files/d326ddf0262551aad75cf643722cb34244512e55ab43e9ff15c862c4a1dfe69ad2b4bd8cb307bfe7c08b84aa7bf48e4e901916c79bbb62b8e5c812bd3ccca370","name":"simulated_data_tukey_close.csv","type":"text/csv","lastModified":1716356777056.015,"size":1079},{"id":"8ce19f2f7e7251c637cbe9d8df44065bec7881a5566c42d36d925557fe8d3b61b67a67982bde755d7ef8e2032fee3fb59b39f830fd1237e781239ed5e1d62402","href":"https://static.observableusercontent.com/files/8ce19f2f7e7251c637cbe9d8df44065bec7881a5566c42d36d925557fe8d3b61b67a67982bde755d7ef8e2032fee3fb59b39f830fd1237e781239ed5e1d62402","name":"simulated_data_tukey_far.csv","type":"text/csv","lastModified":1716356776923.977,"size":957},{"id":"d326ddf0262551aad75cf643722cb34244512e55ab43e9ff15c862c4a1dfe69ad2b4bd8cb307bfe7c08b84aa7bf48e4e901916c79bbb62b8e5c812bd3ccca370","href":"https://static.observableusercontent.com/files/d326ddf0262551aad75cf643722cb34244512e55ab43e9ff15c862c4a1dfe69ad2b4bd8cb307bfe7c08b84aa7bf48e4e901916c79bbb62b8e5c812bd3ccca370","name":"simulated_data_close.csv","type":"text/csv","lastModified":1716356777057.959,"size":1079},{"id":"56d469e4197ff1f3e364c728105745710bed3937a639af7ba28aa2fbea10afe7b905138a8c4cdc64a83a4f3ccb07c1bbf9040018c4debb75905e766c4179c040","href":"https://static.observableusercontent.com/files/56d469e4197ff1f3e364c728105745710bed3937a639af7ba28aa2fbea10afe7b905138a8c4cdc64a83a4f3ccb07c1bbf9040018c4debb75905e766c4179c040","name":"simulated_data_far.csv","type":"text/csv","lastModified":1716356777059.981,"size":1076}] 2f:{"id":"7fe3cd92459aac88","slug":"cms-stars-measure-simulation","title":"CMS Stars Measure Simulation","thumbnail":"08bbd03c6e750eebd31b41b944030a79d5baad68fecc3f937ad9bdc8e4e38c79","access_level":"public","create_time":"$D2024-05-22T03:43:10.541Z","update_time":"$D2024-05-25T21:20:01.814Z","view_time":null,"first_public_time":"$D2024-05-22T12:07:05.237Z","fork":{"id":"c2732ea3a1a4d2f1","slug":null,"title":"Agglomerative Hierarchical Clustering","owner":{"id":"88df4b53b2fce8d2","login":"will-pang","name":"William Pang"}},"stars":0,"starred":false,"owner":{"type":"team","id":"88df4b53b2fce8d2","login":"will-pang","name":"William Pang","avatar_url":"https://avatars-next.observableusercontent.com/4e5603477ef111cf1fc74cb0aab0dd58ddab37219e1b2a4e5e9c3d082c5532a0","tier":"starter_2024"},"version":477,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"30424cd7adf510bb","login":"williampangbest1","name":"William Pang","avatar_url":"https://avatars-next.observableusercontent.com/4e5603477ef111cf1fc74cb0aab0dd58ddab37219e1b2a4e5e9c3d082c5532a0","tier":null}],"members":[{"type":"individual","id":"30424cd7adf510bb","login":"williampangbest1","name":"William Pang","avatar_url":"https://avatars-next.observableusercontent.com/4e5603477ef111cf1fc74cb0aab0dd58ddab37219e1b2a4e5e9c3d082c5532a0","tier":null,"role":"editor"},{"type":"team","id":"88df4b53b2fce8d2","login":"will-pang","name":"William Pang","avatar_url":"https://avatars-next.observableusercontent.com/4e5603477ef111cf1fc74cb0aab0dd58ddab37219e1b2a4e5e9c3d082c5532a0","tier":"starter_2024","role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"title":"CMS Stars Measure Simulation","cells":[{"id":0,"value":"# CMS Stars Measure Simulation","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":389,"value":"viewof outlier = Inputs.radio([\"Close\", \"Far\"], {value: \"Far\", label: \"Outlier Distance\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":90,"value":"viewof num_clusters = Inputs.range([1, simulatedData.length-2], {value: 5, step: 1, label: \"Clusters\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":311,"value":"*Original Data*","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":149,"value":"svg_original.node()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":37,"value":"{\n for (let i = 0; i< 100; i++){\n let cluster_pair = find_closest_cluster(clusters_original)\n merge_and_form_new_clusters(clusters_original, cluster_pair)\n\n update(svg_original);\n\n if (clusters_original.length == num_clusters) break;\n yield md `Current number of clusters: ${await Promises.delay(300, clusters_original.length-1)}`\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":313,"value":"*With Tukey Outlier Removal*","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":364,"value":"svg_tukey.node()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":352,"value":"{\n for (let i = 0; i< 100; i++){\n let cluster_pair = find_closest_cluster(clusters_tukey)\n merge_and_form_new_clusters(clusters_tukey, cluster_pair)\n\n update(svg_tukey);\n\n if (clusters_tukey.length == num_clusters) break;\n yield md `Current number of clusters: ${await Promises.delay(300, clusters_tukey.length-1)}`\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":77,"value":"viewof restart = html`