{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T06:04:24Z","timestamp":1725516264096},"publisher-location":"Berlin, Heidelberg","reference-count":23,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540698111"},{"type":"electronic","value":"9783540698128"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-69812-8_59","type":"book-chapter","created":{"date-parts":[[2008,8,12]],"date-time":"2008-08-12T16:07:43Z","timestamp":1218557263000},"page":"597-608","source":"Crossref","is-referenced-by-count":0,"title":["Finding Arbitrary Shaped Clusters for Character Recognition"],"prefix":"10.1007","author":[{"given":"Noha A.","family":"Yousri","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed. S.","family":"Kamel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed. A.","family":"Ismail","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"unstructured":"Ester, M., Kriegel, H.-P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial data sets with noise. In: Proc. 2nd Int. Conf. on Knowledge Discovery and Data Mining, Portland, OR, pp. 226\u2013231","key":"59_CR1"},{"unstructured":"Hinneburg, A., Keim, D.A.: An Effcient Approach to Clustering in Large Multimedia Databases with Noise. In: KDD 1998 (1998)","key":"59_CR2"},{"doi-asserted-by":"crossref","unstructured":"Ert\u00f6z, L., Steinbach, M., Kumar, V.: Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data. In: Proceedings of Second SIAM International Conference on Data Mining, San Francisco, CA, USA (May 2003)","key":"59_CR3","DOI":"10.1137\/1.9781611972733.5"},{"issue":"8","key":"59_CR4","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1109\/2.781637","volume":"32","author":"G. Karypis","year":"1999","unstructured":"Karypis, G., Han, E.H., Kumar, V.: CHAMELEON: A hierarchical clustering algorithm using dynamic modeling. Computer\u00a032(8), 68\u201375 (1999)","journal-title":"Computer"},{"doi-asserted-by":"crossref","unstructured":"Yousri, N.A., Ismail, M.A., Kamel, M.S.: Discovering Connected Patterns in Gene Expression Arrays. In: IEEE CIBCB 2007 (2007)","key":"59_CR5","DOI":"10.1109\/CIBCB.2007.4221212"},{"unstructured":"Hartigan, J.A.: Clustering Algorithms. Wiley Series in Probability and Mathematical Statistics (1975)","key":"59_CR6"},{"key":"59_CR7","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316801","volume-title":"Finding groups in data: An introduction to cluster analysis","author":"L. Kaufman","year":"1990","unstructured":"Kaufman, L., Rousseeuw, P.J.: Finding groups in data: An introduction to cluster analysis. John Wiley, New York (1990)"},{"unstructured":"Ng, R.T., Han, J.: Efficient and Effective Clustering Methods for Spatial Data Mining, In: Proc. 20th Int. Conf. on Very Large Data Bases, Santiago, Chile, pp. 144\u2013155 (1994)","key":"59_CR8"},{"issue":"2","key":"59_CR9","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1023\/A:1009783824328","volume":"1","author":"T. Zhang","year":"1997","unstructured":"Zhang, T., Ramakrishnan, R., Linvy, M.: BIRCH: An efficient data clustering method for very large data sets. Data Mining and Knowledge Discovery\u00a01(2), 141\u2013182 (1997)","journal-title":"Data Mining and Knowledge Discovery"},{"unstructured":"Ng, A.Y., Jordan, M., Weiss, Y.: On spectral clustering:Analysis and an algorithm. In: Proc. of NIPS-14 (2001)","key":"59_CR10"},{"doi-asserted-by":"crossref","unstructured":"Dhillon, I.S., Guan, Y., Yulis, B.: Kernel k-Means, Spectral Clustering and Normalized Cuts. In: KDD 2004 (2004)","key":"59_CR11","DOI":"10.1145\/1014052.1014118"},{"doi-asserted-by":"crossref","unstructured":"Guha, S., Rastogi, R., Shim, K.: CURE: An efficient clustering algorithm for large databases. In: Proc. 1998 ACM-SIGMOD Int. Conf. Management of Data (SIGMOD 1998), pp. 73\u201384 (1998)","key":"59_CR12","DOI":"10.1145\/276304.276312"},{"doi-asserted-by":"crossref","unstructured":"Becici, E., Yuret, D.: Locally Scaled Density Based Clustering. In: International Conference on Adaptive and Natural Computing Algorithms (ICANNGA), Poland (2007)","key":"59_CR13","DOI":"10.1007\/978-3-540-71618-1_82"},{"doi-asserted-by":"crossref","unstructured":"Dong, J., krzyzak, A., Suen, C.: An improved handwritten Chinese character recognition system using support vector machine. Pattern Recognition Letters\u00a026(12) (September 2005)","key":"59_CR14","DOI":"10.1016\/j.patrec.2005.03.006"},{"unstructured":"Alimoglu, F., Alpaydin, E.: Methods of Combining Multiple Classifiers Based on Different Representations for Pen-based Handwriting Recognition. In: Proceedings of the Fifth Turkish Artificial Intelligence and Artificial Neural Networks Symposium (TAINN 1996), Istanbul, Turkey (1996)","key":"59_CR15"},{"unstructured":"Alpaydin, E., Kaynak, C., Alimoglu, F.: Cascading Multiple Classifiers and Representations for Optical and Pen-Based Handwritten Digit Recognition, IWFHR, Amsterdam, The Netherlands (September 2000)","key":"59_CR16"},{"doi-asserted-by":"crossref","unstructured":"Vuori, V., Laaksonen, J.: A Comparison of Techniques for Automatic Clustering of Handwritten Characters. In: ICPR 2002 (2002)","key":"59_CR17","DOI":"10.1109\/ICPR.2002.1047821"},{"doi-asserted-by":"crossref","unstructured":"Yousri, N.A., Kamel, M.S., Ismail, M.A.: Pattern Cores and Connectedness in Cancer Gene Expression. In: IEEE BIBE 2007 (2007)","key":"59_CR18","DOI":"10.1109\/BIBE.2007.4375551"},{"unstructured":"http:\/\/mlearn.ics.uci.edu\/MLSummary.html","key":"59_CR19"},{"unstructured":"http:\/\/archive.ics.uci.edu\/ml\/support\/Pen-Based+Recognition+of+Handwritten+Digits http:\/\/archive.ics.uci.edu\/ml\/support\/Pen-Based+Recognition+of+Handwritten+Digits","key":"59_CR20"},{"doi-asserted-by":"crossref","unstructured":"Hammouda, K., Kamel, M.S.: Efficient Phrase-Based Document Indexing for Web Document Clustering. IEEE transactions on Knowledge and Data Engineering (TKDE)\u00a016(10) (October 2004)","key":"59_CR21","DOI":"10.1109\/TKDE.2004.58"},{"doi-asserted-by":"crossref","unstructured":"Hubert, L., Arabie, P.: Comparing partitions. Journal of Classification, 193\u2013218 (1985), http:\/\/faculty.washington.edu\/kayee\/pca\/supp.pdf","key":"59_CR22","DOI":"10.1007\/BF01908075"},{"doi-asserted-by":"crossref","unstructured":"Halkidi, M., Batistakis, Y., Vazirgiannis, M.: Cluster Validity Methods; Part 1. SIGMOD record\u00a031(2) (June 2002)","key":"59_CR23","DOI":"10.1145\/565117.565124"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Recognition"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-69812-8_59.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,19]],"date-time":"2020-11-19T05:02:49Z","timestamp":1605762169000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-69812-8_59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540698111","9783540698128"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-69812-8_59","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[]}}