{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,22]],"date-time":"2025-01-22T14:40:12Z","timestamp":1737556812479,"version":"3.33.0"},"publisher-location":"Berlin, Heidelberg","reference-count":22,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540764137"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-76414-4_29","type":"book-chapter","created":{"date-parts":[[2007,11,17]],"date-time":"2007-11-17T07:28:50Z","timestamp":1195284530000},"page":"285-297","source":"Crossref","is-referenced-by-count":1,"title":["Enhanced Visual Separation of Clusters by M-Mapping to Facilitate Cluster Analysis"],"prefix":"10.1007","author":[{"given":"Ke-Bing","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehmet A.","family":"Orgun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"29_CR1","doi-asserted-by":"crossref","unstructured":"Abul, A.L., Alhajj, R., Polat, F., Barker, K.: Cluster Validity Analysis Using Subsampling. In: proceedings of IEEE International Conference on Systems, Man, and Cybernetics, vol. 2, pp. 1435\u20131440. Washington DC (October 2003)","DOI":"10.1109\/ICSMC.2003.1244614"},{"key":"29_CR2","first-page":"49","volume-title":"Proc. of ACM SIGMOD Conference","author":"M. Ankerst","year":"1999","unstructured":"Ankerst, M., Breunig, M.M., Kriegel, S.H.P.J.: Ordering points to identify the clustering structure. In: Proc. of ACM SIGMOD Conference, pp. 49\u201360. ACM Press, New York (1999)"},{"key":"29_CR3","series-title":"Lecture Notes in Artificial Intelligence","first-page":"11","volume-title":"Advances in Data Mining","author":"C. Baumgartner","year":"2004","unstructured":"Baumgartner, C., Plant, C., Railing, K., Kriegel, H.-P., Kroger, P.: Subspace Selection for Clustering High-Dimensional Data. In: Perner, P. (ed.) ICDM 2004. LNCS (LNAI), vol.\u00a03275, pp. 11\u201318. Springer, Heidelberg (2004)"},{"issue":"4","key":"29_CR4","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1057\/palgrave.ivs.9500076","volume":"13","author":"K. Chen","year":"2004","unstructured":"Chen, K., Liu, L.: VISTA: Validating and Refining Clusters via Visualization. Journal of Information Visualization\u00a013(4), 257\u2013270 (2004)","journal-title":"Journal of Information Visualization"},{"key":"29_CR5","doi-asserted-by":"crossref","unstructured":"Faloutsos, C., Lin, K.: Fastmap: a fast algorithm for indexing, data mining and visualization of traditional and multimedia data sets. In: Proc. of ACM-SIGMOD, pp. 163\u2013174 (1995)","DOI":"10.1145\/223784.223812"},{"key":"29_CR6","doi-asserted-by":"crossref","unstructured":"Halkidi, M., Batistakis, Y., Vazirgiannis, M.: Cluster validity methods: Part I and II, SIGMOD Record, 31 (2002)","DOI":"10.1145\/565117.565124"},{"key":"29_CR7","doi-asserted-by":"crossref","unstructured":"Huang, Z., Cheung, D.W., Ng, M.K.: An Empirical Study on the Visual Cluster Validation Method with Fastmap. In: Proc. of DASFAA01, pp. 84\u201391 (2001)","DOI":"10.1109\/DASFAA.2001.916368"},{"key":"29_CR8","volume-title":"Data Mining: Concepts and Techniques","author":"J. Han","year":"2001","unstructured":"Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann, San Francisco (2001)"},{"issue":"5","key":"29_CR9","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1109\/38.788795","volume":"19","author":"K.A. Hinneburg","year":"1999","unstructured":"Hinneburg, K.A., Keim, D.A., Wawryniuk, M.: Hd-eye: Visual mining of high-dimensional data. Computer Graphics & Applications Journal\u00a019(5), 22\u201331 (1999)","journal-title":"Computer Graphics & Applications Journal"},{"key":"29_CR10","doi-asserted-by":"crossref","unstructured":"Huang, Z., Lin, T.: A visual method of cluster validation with Fastmap. In: Proc. of PAKDD-2000 pp. 153\u2013164 (2000)","DOI":"10.1007\/3-540-45571-X_18"},{"issue":"3","key":"29_CR11","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1145\/331499.331504","volume":"31","author":"A. Jain","year":"1999","unstructured":"Jain, A., Murty, M.N., Flynn, P.J.: Data Clustering: A Review. ACM Computing Surveys\u00a031(3), 264\u2013323 (1999)","journal-title":"ACM Computing Surveys"},{"key":"29_CR12","doi-asserted-by":"crossref","unstructured":"Kandogan, E.: Visualizing multi-dimensional clusters, trends, and outliers using star coordinates. In: Proc. of ACM SIGKDD Conference, pp. 107\u2013116 (2001)","DOI":"10.1145\/502512.502530"},{"key":"29_CR13","doi-asserted-by":"crossref","unstructured":"Kominek, J., Black, A.W.: Measuring Unsupervised Acoustic Clustering through Phoneme Pair Merge-and-Split Tests. In: 9th European Conference on Speech Communication and Technology (Interspeech\u20192005), Lisbon, Portugal, pp. 689\u2013692 (2005)","DOI":"10.21437\/Interspeech.2005-198"},{"key":"29_CR14","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-97966-8","volume-title":"Self-Organizing Maps","author":"T. Kohonen","year":"1997","unstructured":"Kohonen, T.: Self-Organizing Maps, 2nd edn. Springer, Berlin (1997)","edition":"2"},{"key":"29_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1007\/3-540-44801-2_17","volume-title":"Data Warehousing and Knowledge Discovery","author":"S. Kaski","year":"2001","unstructured":"Kaski, S., Sinkkonen, J., Peltonen, J.: Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics. In: Kambayashi, Y., Winiwarter, W., Arikawa, M. (eds.) DaWaK 2001. LNCS, vol.\u00a02114, pp. 162\u2013173. Springer, Heidelberg (2001)"},{"key":"29_CR16","first-page":"61","volume-title":"Proc. of the conference on Visualization 2000","author":"T.C. Sprenger","year":"2000","unstructured":"Sprenger, T.C, Brunella, R., Gross, M.H.: H-BLOB: A Hierarchical Visual Clustering Method Using Implicit Surfaces. In: Proc. of the conference on Visualization 2000, pp. 61\u201368. IEEE Computer Society Press, Los Alamitos (2000)"},{"key":"29_CR17","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/3-540-45650-3_4","volume-title":"Discovery Science","author":"B. Shneiderman","year":"2001","unstructured":"Shneiderman, B.: Inventing Discovery Tools: Combining Information Visualization with Data Mining. In: Jantke, K.P., Shinohara, A. (eds.) DS 2001. LNCS (LNAI), vol.\u00a02226, pp. 17\u201328. Springer, Heidelberg (2001)"},{"key":"29_CR18","series-title":"Lecture Notes in Computer Science","volume-title":"From Integrated Publication and Information Systems to Information and Knowledge Environments","author":"J. Seo","year":"2005","unstructured":"Seo, J., Shneiderman, B.: A Knowledge Integration Framework for Information Visualization. In: Hemmje, M., Nieder\u00e9e, C., Risse, T. (eds.) From Integrated Publication and Information Systems to Information and Knowledge Environments. LNCS, vol.\u00a03379, Springer, Heidelberg (2005)"},{"key":"29_CR19","unstructured":"Vilalta, R., Stepinski, T., Achari, M.: An Efficient Approach to External Cluster Assessment with an Application to Martian Topography, Technical Report, No. UH-CS-05-08, Department of Computer Science, University of Houston (2005)"},{"key":"29_CR20","series-title":"Lecture Notes in Artificial Intelligence","first-page":"317","volume-title":"Advanced Data Mining and Applications","author":"K.-B. Zhang","year":"2006","unstructured":"Zhang, K-B., Orgun, M.A., Zhang, K.: HOV3, An Approach for Cluster Analysis. In: Li, X., Za\u00efane, O.R., Li, Z. (eds.) ADMA 2006. LNCS (LNAI), vol.\u00a04093, pp. 317\u2013328. Springer, Heidelberg (2006)"},{"key":"29_CR21","first-page":"577","volume-title":"CIDM2007. Proc. of the first IEEE Symposium on Computational Intelligence and Data Mining, Honolulu, Hawaii","author":"K.-B. Zhang","year":"2007","unstructured":"Zhang, K-B., Orgun, M.A., Zhang, K.: A Visual Approach for External Cluster Validation. In: CIDM2007. Proc. of the first IEEE Symposium on Computational Intelligence and Data Mining, Honolulu, Hawaii, pp. 577\u2013582. IEEE Computer Press, Los Alamitos (2007)"},{"key":"29_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1007\/978-3-540-74976-9_32","volume-title":"ECML\/PKDD 2007","author":"K.-B. Zhang","year":"2007","unstructured":"Zhang, K-B., Orgun, M.A., Zhang, K.: A Prediction-based Visual Approach for Cluster Exploration and Cluster Validation by HOV3. In: ECML\/PKDD 2007, Warsaw, Poland, September 17-21. LNCS, vol.\u00a04702, pp. 336\u2013349. Springer, Heidelberg (2007)"}],"container-title":["Lecture Notes in Computer Science","Advances in Visual Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-76414-4_29.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,22]],"date-time":"2025-01-22T14:14:24Z","timestamp":1737555264000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-76414-4_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540764137"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-76414-4_29","relation":{},"subject":[]}}