{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T23:42:49Z","timestamp":1725838969420},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319256597"},{"type":"electronic","value":"9783319256603"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-25660-3_18","type":"book-chapter","created":{"date-parts":[[2015,11,25]],"date-time":"2015-11-25T12:11:58Z","timestamp":1448453518000},"page":"210-222","source":"Crossref","is-referenced-by-count":1,"title":["Feature Maximization Based Clustering Quality Evaluation: A Promising Approach"],"prefix":"10.1007","author":[{"given":"Jean-Charles","family":"Lamirel","sequence":"first","affiliation":[]},{"given":"Shadi","family":"Al Shehabi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,11,26]]},"reference":[{"key":"18_CR1","first-page":"37","volume":"6","author":"D Aha","year":"1991","unstructured":"Aha, D., Kibler, D., Albert, M.: Instance-based learning algorithms. Mach. Learn. 6, 37\u201366 (1991)","journal-title":"Mach. Learn."},{"key":"18_CR2","unstructured":"Alphonse, E.\u2019E., Amrani, A., Az\u00e9, J., Heitz, T., Mezaour, A.-D.,Roche, M.: Pr\u00e9paration des donn\u00e9s et analyse des r\u00e9sultats de DEFT05. In: TALN 2005- Atelier DEFT 2005, pp. 99\u2013111 (2005)"},{"key":"18_CR3","unstructured":"Angel Latha Mary, S., Sivagami, A.N., Usha Rani, M.: Cluster validity measures dynamic clustering algorithms. ARPN J. Eng. Appl. Sci. 10(9) (2015)"},{"key":"18_CR4","unstructured":"Attik, M., Lamirel, J.-C., Al Sheabi, S.: Clustering analysis for data with multiple labels. In: Proceedings of the IASTED International Conference on Databases and Applications (DBA), Innsbruck, Austria (2006)"},{"key":"18_CR5","unstructured":"Bache, K., Lichman, M.: UCI Machine learning repository, University of California, School of Information and Computer Science, Irvine, CA, USA (2013). \n                      http:\/\/archive.ics.uci.edu\/ml"},{"key":"18_CR6","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1142\/9789812832153_0011","volume-title":"Clustering and Classification","author":"H-H Bock","year":"1996","unstructured":"Bock, H.-H.: Probability model and hypothese testing in partitionning cluster analysis. In: Arabie, P., Hubert, L.J., De Soete, G. (eds.) Clustering and Classification, pp. 377\u2013453. World Scientific, Singapore (1996)"},{"issue":"3","key":"18_CR7","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1007\/s10115-012-0487-8","volume":"34","author":"V Bol\u00f3n-Canedo","year":"2013","unstructured":"Bol\u00f3n-Canedo, V., S\u00e1nchez-Maro\u00f1o, N., Alonso-Betanzos, A.: A review of feature selection methods on synthetic data. Knowl. Inf. Syst. 34(3), 483\u2013519 (2013)","journal-title":"Knowl. Inf. Syst."},{"issue":"1","key":"18_CR8","first-page":"1","volume":"3","author":"T Calinsky","year":"1974","unstructured":"Calinsky, T., Harabasz, J.: A dendrite method for cluster analysis. Commun. Statis. 3(1), 1\u201327 (1974)","journal-title":"Commun. Statis."},{"issue":"2","key":"18_CR9","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1109\/TPAMI.1979.4766909","volume":"1","author":"DL Davies","year":"1979","unstructured":"Davies, D.L., Bouldin, D.W.: A cluster separation measure. IEEE Trans. Pattern Anal. Mach. Intel., PAMI 1(2), 224\u2013227 (1979)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intel., PAMI"},{"key":"18_CR10","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1080\/01969727408546059","volume":"4","author":"J Dunn","year":"1974","unstructured":"Dunn, J.: Well separated clusters and optimal fuzzy partitions. J. Cybern. 4, 95\u2013104 (1974)","journal-title":"J. Cybern."},{"key":"18_CR11","unstructured":"Falk, I., Lamirel, J.-C., Gardent, C.: Classifying french verbs using french and english lexical resources. In: Proccedings of ACL, Jeju Island, Korea (2012)"},{"key":"18_CR12","unstructured":"Fritzke, B.: A growing neural gas network learns topologies. In: Tesauro, G., Touretzky, D.S., Leen, T.K. (ed.) Advances in Neural Information Processing Systems 7, pp. 625\u2013632 (1995)"},{"key":"18_CR13","unstructured":"Forest, D.: Application de techniques de forage de textes de nature pr\u00e9dictive et exploratoire \u00e0 des fins de gestion et dnalyse th\u00e9matique de documents textuels non structur\u00e9s, Ph.D. thesis, Quebec University, Montreal, Canada (2007)"},{"key":"18_CR14","doi-asserted-by":"crossref","first-page":"703","DOI":"10.3233\/IDA-2012-0545","volume":"16","author":"L Guerra","year":"2012","unstructured":"Guerra, L., Robles, V., Bielza, C., Larra\u00f1aga, P.: A comparison of clustering quality indices using outliers and noise. Intel. Data Anal. 16, 703\u2013715 (2012)","journal-title":"Intel. Data Anal."},{"issue":"2","key":"18_CR15","first-page":"353","volume":"51","author":"AD Gordon","year":"1998","unstructured":"Gordon, A.D.: External validation in cluster analysis. Bull. Int. Statis. Inst. 51(2), 353\u2013356 (1998). Response to comments. Bulletin of the International Statistical Institute 51(3), 414\u2013415 (1998)","journal-title":"Bull. Int. Statis. Inst."},{"key":"18_CR16","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157\u20131182 (2003)","journal-title":"J. Mach. Learn. Res."},{"issue":"2\/3","key":"18_CR17","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1023\/A:1012801612483","volume":"17","author":"M Halkidi","year":"2001","unstructured":"Halkidi, M., Batistakis, Y., Vazirgiannis, M.: On clustering validation techniques. J. Intel. Inf. Syst. 17(2\/3), 147\u2013155 (2001)","journal-title":"J. Intel. Inf. Syst."},{"key":"18_CR18","unstructured":"Kassab, R., Lamirel, J.-C.: Feature based cluster validation for high dimensional data. In: IASTED International Conference on Artificial Intelligence and Applications (AIA), Innsbruck, Austria, pp. 97\u2013103, February 2008"},{"key":"18_CR19","unstructured":"Lamirel, J.C., Ta, A.P.: Combination of hyperbolic visualization and graph-based approach for organizing data analysis results: an application to social network analysis. In: Proceedings of the 4th International Conference on Webometrics, Informetrics and Scientometrics and 9th COLLNET Meetings, Berlin, 2012 Germany (2008)"},{"key":"18_CR20","doi-asserted-by":"crossref","unstructured":"Lamirel, J.C., Mall, R., Cuxac, P., Safi, G.: Variations to incremental growing neural gas algorithm based on label maximization. In: Proceedings of IJCNN 2011, San Jose, CA, USA, pp. 956\u2013965 (2011)","DOI":"10.1109\/IJCNN.2011.6033326"},{"issue":"1","key":"18_CR21","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/s11192-012-0771-0","volume":"93","author":"JC Lamirel","year":"2012","unstructured":"Lamirel, J.C.: A new approach for automatizing the analysis of research topics dynamics: application to optoelectronics research. Scientometrics 93(1), 151\u2013166 (2012)","journal-title":"Scientometrics"},{"key":"18_CR22","first-page":"1","volume":"2013","author":"J-C Lamirel","year":"2014","unstructured":"Lamirel, J.-C., Cuxac, P., Chivukula, A.S., Hajlaoui, K.: Optimizing text classification through efficient feature selection based on quality metric. J. Intel. Inf. Syst., Special issue on PAKDD-QIMIE 2013, 1\u201318 (2014)","journal-title":"J. Intel. Inf. Syst., Special issue on PAKDD-QIMIE"},{"key":"18_CR23","doi-asserted-by":"crossref","unstructured":"Lamirel, J.-C., Falk, I., Gardent, C.: Federating clustering and cluster labeling capabilities with a single approach based on feature maximization: French verb classes identification with IGNGF neural clustering. In: Neurocomputing, Special issue on 9th Workshop on Self-Organizing Maps (WSOM 2012), vol. 147, pp. 136\u2013146 (2014)","DOI":"10.1016\/j.neucom.2014.02.060"},{"key":"18_CR24","unstructured":"MacQueen, J.B.: Some methods for classification and analysis of multivariate observations. In: Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability 1, pp. 281\u2013297. University of California Press (1967)"},{"issue":"2","key":"18_CR25","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1007\/BF02294245","volume":"50","author":"GW Milligan","year":"1985","unstructured":"Milligan, G.W., Cooper, M.C.: An examination of procedures for determining the number of clusters in a dataset. Psychometrika 50(2), 159\u2013179 (1985)","journal-title":"Psychometrika"},{"issue":"1","key":"18_CR26","first-page":"27","volume":"5","author":"E Rend\u00f3n","year":"2011","unstructured":"Rend\u00f3n, E., Abundez, I., Arizmendi, A., Quiroz, E.M.: Internal versus external cluster validation indexes. Int. J. Comput. Commun. 5(1), 27\u201334 (2011)","journal-title":"Int. J. Comput. Commun."},{"key":"18_CR27","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":"18_CR28","unstructured":"Sun, L., Korhonen, A., Poibeau, T., Messiant, C.: Investigating the cross-linguistic potential of VerbNet-style classification. In: Proceedings of ACL, Beijing, China, pp. 1056\u20131064 (2010)"},{"key":"18_CR29","unstructured":"Yanchi, L., Zhongmou, L., Xiong, H., Gao, X., Wu, J.: Understanding of internal clustering validation measures. In: Proceedings of the 2010 IEEE International Conference on Data Mining, ICDM 2010, pp. 911\u2013916 (2010)"},{"issue":"8","key":"18_CR30","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1109\/34.85677","volume":"13","author":"XL Xie","year":"1991","unstructured":"Xie, X.L., Beni, G.: A validity measure for fuzzy clustering. IEEE Trans. Pattern Anal. Mach. Intel. 13(8), 841\u2013847 (1991)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intel."}],"container-title":["Lecture Notes in Computer Science","Trends and Applications in Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-25660-3_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T17:43:21Z","timestamp":1559324601000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-25660-3_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319256597","9783319256603"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-25660-3_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]}}}