{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T11:04:41Z","timestamp":1780916681460,"version":"3.54.1"},"publisher-location":"Singapore","reference-count":12,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819214648","type":"print"},{"value":"9789819214655","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-92-1465-5_23","type":"book-chapter","created":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T10:15:53Z","timestamp":1780913753000},"page":"291-302","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["CSP-HEIDI Visualising Closest Subspace Points in\u00a0$$R^d$$ Clusters and\u00a0Classes"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-5691-3417","authenticated-orcid":false,"given":"Tanish","family":"Gupta","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2528-7979","authenticated-orcid":false,"given":"Kamalakar","family":"Karlapalem","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,9]]},"reference":[{"key":"23_CR1","doi-asserted-by":"crossref","unstructured":"Agrawal, R., Gehrke, J., Gunopulos, D., Raghavan, P.: Automatic subspace clustering of high dimensional data for data mining applications. ACM SIGMOD Rec. (1998)","DOI":"10.1145\/276304.276314"},{"issue":"1","key":"23_CR2","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1145\/1007730.1007731","volume":"6","author":"L Parsons","year":"2004","unstructured":"Parsons, L., Haque, E., Liu, H.: Subspace clustering for high dimensional data: a review. ACM SIGKDD Explor. Newsl. 6(1), 90\u2013105 (2004)","journal-title":"ACM SIGKDD Explor. Newsl."},{"issue":"12","key":"23_CR3","first-page":"2604","volume":"19","author":"X Yuan","year":"2013","unstructured":"Yuan, X., Ren, D., Wang, Z., Guo, C.: Dimension projection matrix\/tree: interactive subspace visual exploration and analysis of high dimensional data. IEEE Trans. Vis. Comput. Graph. 19(12), 2604\u20132613 (2013)","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"issue":"3","key":"23_CR4","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1111\/cgf.12933","volume":"35","author":"C Heine","year":"2016","unstructured":"Heine, C., et al.: A survey of topology-based methods in visualization. Comput. Graph. Forum 35(3), 643\u2013667 (2016)","journal-title":"Comput. Graph. Forum"},{"key":"23_CR5","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","volume":"20","author":"PJ Rousseeuw","year":"1987","unstructured":"Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53\u201365 (1987)","journal-title":"J. Comput. Appl. Math."},{"key":"23_CR6","doi-asserted-by":"crossref","unstructured":"Inselberg, A., Dimsdale, B.: Parallel coordinates: a tool for visualizing multi-dimensional geometry. In: Proceedings of IEEE Visualization, pp. 361\u2013378 (1990)","DOI":"10.1109\/VISUAL.1990.146402"},{"issue":"6","key":"23_CR7","doi-asserted-by":"publisher","first-page":"1141","DOI":"10.1109\/TVCG.2008.153","volume":"14","author":"N Elmqvist","year":"2008","unstructured":"Elmqvist, N., Dragicevic, P., Fekete, J.-D.: Rolling the dice: multidimensional visual exploration using scatterplot matrix navigation. IEEE Trans. Vis. Comput. Graph. 14(6), 1141\u20131148 (2008)","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"23_CR8","doi-asserted-by":"crossref","unstructured":"Vadapalli, S., Karlapalem, K.: Heidi matrix: nearest neighbor driven high dimensional data visualization. In: Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery, VAKD 2009, Paris, pp. 38\u201345. ACM (2009)","DOI":"10.1145\/1562849.1562859"},{"issue":"1","key":"23_CR9","first-page":"1","volume":"3","author":"T Cali\u0144ski","year":"1974","unstructured":"Cali\u0144ski, T., Harabasz, J.: A dendrite method for cluster analysis. Commun. Stat. Theor. Meth. 3(1), 1\u201327 (1974)","journal-title":"Commun. Stat. Theor. Meth."},{"key":"23_CR10","unstructured":"He, X., Cai, D., Niyogi, P.: Laplacian score for feature selection. In: Advances in Neural Information Processing Systems, pp. 507\u2013514 (2005)"},{"issue":"2","key":"23_CR11","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1111\/j.1469-1809.1936.tb02137.x","volume":"7","author":"RA Fisher","year":"1936","unstructured":"Fisher, R.A.: The use of multiple measurements in taxonomic problems. Ann. Eugen. 7(2), 179\u2013188 (1936)","journal-title":"Ann. Eugen."},{"key":"23_CR12","unstructured":"Horton, P., Nakai, K.: A probabilistic classification system for predicting the cellular localization sites of proteins. In: Proceedings of the Fourth International Conference on Intelligent Systems for Molecular Biology (ISMB), St. Louis, USA, pp. 109\u2013115 (1996)"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-1465-5_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T10:15:59Z","timestamp":1780913759000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-1465-5_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819214648","9789819214655"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-1465-5_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"9 June 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Generative AI was used only for grammar and spell-checking; all scientific content, methods, analyses, and conclusions are solely the author\u2019s work.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"AI Use Statement"}},{"value":"PAKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hong Kong","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 June 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 June 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.pakdd2026.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}