{"id":769072,"date":"2021-10-01T11:53:01","date_gmt":"2021-10-01T18:53:01","guid":{"rendered":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=769072"},"modified":"2022-05-31T10:41:43","modified_gmt":"2022-05-31T17:41:43","slug":"tech-report-pack","status":"publish","type":"msr-research-item","link":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/publication\/tech-report-pack\/","title":{"rendered":"An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication"},"content":{"rendered":"<p><span dir=\"ltr\" role=\"presentation\">The<\/span> <span dir=\"ltr\" role=\"presentation\">Agglomerative<\/span> <span dir=\"ltr\" role=\"presentation\">Hierarchical<\/span> <span dir=\"ltr\" role=\"presentation\">Clustering<\/span> <span dir=\"ltr\" role=\"presentation\">(AHC)<\/span> <span dir=\"ltr\" role=\"presentation\">algorithm<\/span> <span dir=\"ltr\" role=\"presentation\">is <\/span><span dir=\"ltr\" role=\"presentation\">widely used in real-world applications.<\/span> <span dir=\"ltr\" role=\"presentation\">As data volumes continue <\/span><span dir=\"ltr\" role=\"presentation\">to grow, efficient scale-out techniques for AHC are becoming in<\/span><span dir=\"ltr\" role=\"presentation\">creasingly important. In this paper, we propose a Partition-based <\/span><span dir=\"ltr\" role=\"presentation\">distributed Agglomerative Hierarchical Clustering (<\/span><span dir=\"ltr\" role=\"presentation\">PACk<\/span><span dir=\"ltr\" role=\"presentation\">) algorithm <\/span><span dir=\"ltr\" role=\"presentation\">using novel distance-based partitioning and distance-aware merg<\/span><span dir=\"ltr\" role=\"presentation\">ing techniques. We have developed an efficient implementation of <\/span><span dir=\"ltr\" role=\"presentation\">PACk<\/span> <span dir=\"ltr\" role=\"presentation\">on Spark. Compared to the state-of-the-art distributed AHC <\/span><span dir=\"ltr\" role=\"presentation\">algorithm,<\/span> <span dir=\"ltr\" role=\"presentation\">PACk<\/span> <span dir=\"ltr\" role=\"presentation\">achieves 2<\/span><span dir=\"ltr\" role=\"presentation\">\u00d7 <\/span><span dir=\"ltr\" role=\"presentation\">to 19<\/span><span dir=\"ltr\" role=\"presentation\">\u00d7 <\/span><span dir=\"ltr\" role=\"presentation\">(median=9<\/span><span dir=\"ltr\" role=\"presentation\">\u00d7<\/span><span dir=\"ltr\" role=\"presentation\">) speedup across a <\/span><span dir=\"ltr\" role=\"presentation\">variety of synthetic and real-world datasets.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Agglomerative Hierarchical Clustering (AHC) algorithm is widely used in real-world applications. As data volumes continue to grow, efficient scale-out techniques for AHC are becoming increasingly important. In this paper, we propose a Partition-based distributed Agglomerative Hierarchical Clustering (PACk) algorithm using novel distance-based partitioning and distance-aware merging techniques. We have developed an efficient implementation of [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"MSR-TR-2021-22","msr_organization":"Microsoft","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"","msr_host":"","msr_version":"","msr_duration":"","msr_original_fields_of_study":"","msr_release_tracker_id":"","msr_s2_match_type":"","msr_citation_count_updated":"","msr_published_date":"2021-10-1","msr_highlight_text":"","msr_notes":"","msr_longbiography":"","msr_publicationurl":"","msr_external_url":"","msr_secondary_video_url":"","msr_conference_url":"","msr_journal_url":"","msr_s2_pdf_url":"","msr_year":0,"msr_citation_count":0,"msr_influential_citations":0,"msr_reference_count":0,"msr_s2_match_confidence":0,"msr_microsoftintellectualproperty":true,"msr_s2_open_access":false,"msr_s2_author_ids":[],"msr_pub_ids":[],"msr_hide_image_in_river":0,"footnotes":""},"msr-research-highlight":[],"research-area":[13563],"msr-publication-type":[193718],"msr-publisher":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-769072","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-data-platform-analytics","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2021-10-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"MSR-TR-2021-22","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"Microsoft","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-content\/uploads\/2022\/05\/TechReport_PACk.pdf","id":"848767","title":"techreport_pack-2","label_id":"243132","label":0}],"msr_related_uploader":"","msr_citation_count":0,"msr_citation_count_updated":"","msr_s2_paper_id":"","msr_influential_citations":0,"msr_reference_count":0,"msr_arxiv_id":"","msr_s2_author_ids":[],"msr_s2_open_access":false,"msr_s2_pdf_url":null,"msr_attachments":[{"id":778210,"url":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-content\/uploads\/2021\/09\/TechReport_Blank.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"Yue 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