29:null 2a:["$","title",null,{"children":"Agglomerative Hierarchical Clustering | William Pang | Observable"}] 2f:[] 2d:{"id":"c2732ea3a1a4d2f1","slug":null,"title":"Agglomerative Hierarchical Clustering","thumbnail":"8c6bca69c482437ff4f58e63f5b3f7e863b761f369e644c0b76b60c60ca07d7f","access_level":"public","create_time":"$D2024-05-20T21:15:25.693Z","update_time":"$D2024-05-23T04:57:40.940Z","view_time":null,"first_public_time":"$D2024-05-21T03:32:44.705Z","fork":false,"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":263,"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":1,"collection":null,"type":"notebook","body":{"title":"Agglomerative Hierarchical Clustering","cells":[{"id":0,"value":"# Agglomerative Hierarchical Clustering","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":248,"value":"viewof method = Inputs.radio([\"Single\"], {value: \"Single\", label: \"Method\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":149,"value":"svg.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)\n merge_and_form_new_clusters(clusters, cluster_pair)\n\n update(svg);\n\n if (clusters.length == num_clusters) break;\n yield md `Current number of clusters: ${await Promises.delay(300, clusters.length-1)}`\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":90,"value":"viewof num_clusters = Inputs.range([1, data.length-2], {value: 4, step: 1, label: \"Clusters\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":77,"value":"viewof restart = html`