{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T22:31:18Z","timestamp":1725489078714},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540742814"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-74282-1_137","type":"book-chapter","created":{"date-parts":[[2007,8,9]],"date-time":"2007-08-09T15:13:02Z","timestamp":1186672382000},"page":"1220-1226","source":"Crossref","is-referenced-by-count":1,"title":["Combining Multi-layer Perceptron and K-Means for Data Clustering with Background Knowledge"],"prefix":"10.1007","author":[{"given":"Donghai","family":"Guan","sequence":"first","affiliation":[]},{"given":"Weiwei","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Young-Koo","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Andrey","family":"Gavrilov","sequence":"additional","affiliation":[]},{"given":"Sungyoung","family":"Lee","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"137_CR1","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1109\/TNN.2005.845141","volume":"16","author":"R. Xu","year":"2005","unstructured":"Xu, R., Wunsch, D.: Survey of Clustering Algorithms. IEEE Transaction on Neural Networks\u00a016, 645\u2013678 (2005)","journal-title":"IEEE Transaction on Neural Networks"},{"key":"137_CR2","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1145\/331499.331504","volume":"21","author":"A.K. Jain","year":"1999","unstructured":"Jain, A.K., Murty, M.N., Flynn, P.J.: Data Clustering: A Review. ACM Computing Surveys\u00a021, 264\u2013323 (1999)","journal-title":"ACM Computing Surveys"},{"key":"137_CR3","unstructured":"Basu, S.: Semi-supervised Clustering with Limited Background Knowledge. In: Proc. of the Ninth AAAI\/SIGART Doctoral Consortium, pp. 979\u2013980 (2004)"},{"key":"137_CR4","unstructured":"Basu, S., Arindam, B., Raymond, J.M.: Semi-supervised Clustering by Seeding. In: Proc. of the Nineteenth International Conference on Machine Learning (ICML), pp. 19\u201326 (2002)"},{"key":"137_CR5","unstructured":"Nizar, G., Michel, C., Nozha, B.: Unsupervised and Semi-supervised Clustering: a Brief Survey. A Review of Machine Learning Techniques for Processing Multimedia Content (2004) \n \n http:\/\/www-rocq.inria.fr\/crucianu\/src\/BriefSurveyClustering.pdf"},{"key":"137_CR6","unstructured":"Luo, M., Ma, Y.F., Zhang, H.J.: A Spatial Constrained K-means Approach to Image Segmentation. In: Proc. of the Fourth Pacific Rim Conference on Multimedia, pp. 738\u2013742 (2003)"},{"key":"137_CR7","unstructured":"Bellot, P., Marc, E.B.: A clustering method for information retrieval. Technical Report IR-0199, Laboratoire d\u2019Informatique d\u2019Avignon, France (1999)"},{"key":"137_CR8","unstructured":"Wagstaff, K.: Intelligent Clustering with Instane-level Constrains. Ph.D Thesis, Cornell University (2002)"},{"key":"137_CR9","unstructured":"Basu, S.: Comparing and Unifying Search-based and Similarity-based Approaches to Semi-Supervised Clustering. In: Proc. of the 20th International Conference on Machine Learning (ICML 2003), pp. 42\u201349 (2003)"},{"key":"137_CR10","unstructured":"Kiri, W., Claire, C., Seth, R., Stefan, S.: Constrained K-means Clustering with Background Knowledge. In: Proc. of 18th International Conference on Machine Learning (ICML 2001), pp. 577\u2013584 (2001)"},{"key":"137_CR11","first-page":"281","volume-title":"Proc. of the Fifth Symposium on Math, Statistics, and Probability","author":"J.B. MacQueen","year":"1967","unstructured":"MacQueen, J.B.: Some Methods for Classification and Analysis of Multivariate Observations. In: Proc. of the Fifth Symposium on Math, Statistics, and Probability, pp. 281\u2013297. University of California Press, Berkeley, CA (1967)"},{"key":"137_CR12","doi-asserted-by":"crossref","unstructured":"Rand, W.M.: Objective Criteria for the Evaluation of Clustering Methods. J. of the American Statistical Association\u00a0, 846\u2013850 (1971)","DOI":"10.1080\/01621459.1971.10482356"},{"key":"137_CR13","unstructured":"Blake, C., Merz, J.: UCI Repository of Machine Learning Databases, \n \n http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html"}],"container-title":["Communications in Computer and Information Science","Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-74282-1_137.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T10:18:57Z","timestamp":1619518737000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-74282-1_137"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540742814"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-74282-1_137","relation":{},"subject":[]}}