{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T04:13:50Z","timestamp":1750911230736,"version":"3.41.0"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319672731"},{"type":"electronic","value":"9783319672748"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[[2017]]},"DOI":"10.1007\/978-3-319-67274-8_8","type":"book-chapter","created":{"date-parts":[[2017,10,6]],"date-time":"2017-10-06T12:21:20Z","timestamp":1507292480000},"page":"79-93","source":"Crossref","is-referenced-by-count":2,"title":["Improved CFDP Algorithms Based on Shared Nearest Neighbors and Transitive Closure"],"prefix":"10.1007","author":[{"given":"Li","family":"Ni","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjian","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenyang","family":"Bu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yamin","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,7]]},"reference":[{"unstructured":"Ester, M., Kriegel, H.-P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD, pp. 226\u2013231. AAAI (1996)","key":"8_CR1"},{"unstructured":"MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, pp. 281\u2013297. University of California Press (1967)","key":"8_CR2"},{"doi-asserted-by":"crossref","unstructured":"Yan, Z., Luo, W., Bu, C., Ni, L.: Clustering spatial data by the neighbors intersection and the density difference. In: Proceedings of the 3rd IEEE\/ACM International Conference on Big Data Computing, Applications and Technologies, pp. 217\u2013226. ACM (2016)","key":"8_CR3","DOI":"10.1145\/3006299.3006332"},{"key":"8_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1007\/978-3-319-46257-8_37","volume-title":"Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2016","author":"W Gao","year":"2016","unstructured":"Gao, W., Luo, W., Bu, C., Ni, L., Zhang, D.: Clustering evolutionary data with an r-dominance based multi-objective evolutionary algorithm. In: Yin, H., Gao, Y., Li, B., Zhang, D., Yang, M., Li, Y., Klawonn, F., Tall\u00f3n-Ballesteros, A.J. (eds.) IDEAL 2016. LNCS, vol. 9937, pp. 342\u2013352. Springer, Cham (2016). doi: 10.1007\/978-3-319-46257-8_37"},{"doi-asserted-by":"crossref","unstructured":"Gao, W., Luo, W., Bu, C.: Evolutionary community discovery in dynamic networks based on leader nodes. In: 2016 International Conference on Big Data and Smart Computing (BigComp), pp. 53\u201360. IEEE (2016)","key":"8_CR5","DOI":"10.1109\/BIGCOMP.2016.7425801"},{"issue":"6191","key":"8_CR6","doi-asserted-by":"crossref","first-page":"1492","DOI":"10.1126\/science.1242072","volume":"344","author":"A Rodriguez","year":"2014","unstructured":"Rodriguez, A., Laio, A.: Clustering by fast search and find of density peaks. Science 344(6191), 1492\u20131496 (2014)","journal-title":"Science"},{"issue":"11","key":"8_CR7","doi-asserted-by":"crossref","first-page":"1025","DOI":"10.1109\/T-C.1973.223640","volume":"100","author":"RA Jarvis","year":"1973","unstructured":"Jarvis, R.A., Patrick, E.A.: Clustering using a similarity measure based on shared near neighbors. IEEE Trans. Comput. 100(11), 1025\u20131034 (1973)","journal-title":"IEEE Trans. Comput."},{"issue":"1","key":"8_CR8","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/S0165-0114(00)00062-2","volume":"123","author":"H-S Lee","year":"2001","unstructured":"Lee, H.-S.: An optimal algorithm for computing the max\u2013min transitive closure of a fuzzy similarity matrix. Fuzzy Sets Syst. 123(1), 129\u2013136 (2001)","journal-title":"Fuzzy Sets Syst."},{"issue":"6","key":"8_CR9","doi-asserted-by":"crossref","first-page":"1060","DOI":"10.1016\/j.ins.2010.11.022","volume":"181","author":"PG Sun","year":"2011","unstructured":"Sun, P.G., Gao, L., Han, S.S.: Identification of overlapping and non-overlapping community structure by fuzzy clustering in complex networks. Inf. Sci. 181(6), 1060\u20131071 (2011)","journal-title":"Inf. Sci."},{"doi-asserted-by":"crossref","unstructured":"Samaria, F.S., Harter, A.C.: Parameterisation of a stochastic model for human face identification. In: Proceedings of the Second IEEE Workshop on Applications of Computer Vision, pp. 138\u2013142. IEEE (1994)","key":"8_CR10","DOI":"10.1109\/ACV.1994.341300"},{"doi-asserted-by":"crossref","unstructured":"Vinh, N.X., Epps, J., Bailey, J.: Information theoretic measures for clusterings comparison: is a correction for chance necessary? In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 1073\u20131080. ACM (2009)","key":"8_CR11","DOI":"10.1145\/1553374.1553511"},{"key":"8_CR12","doi-asserted-by":"crossref","first-page":"486","DOI":"10.1016\/j.patcog.2016.04.018","volume":"60","author":"M Chen","year":"2016","unstructured":"Chen, M., Li, L.J., Wang, B., Cheng, J.J., Pan, L.N., Chen, X.Y.: Effectively clustering by finding density backbone based-on kNN. Pattern Recogn. 60, 486\u2013498 (2016)","journal-title":"Pattern Recogn."},{"doi-asserted-by":"crossref","unstructured":"Ankerst, M., Breunig, M.M., Kriegel, H.-P., Sander, J.: OPTICS: ordering points to identify the clustering structure. In: ACM Sigmod Record, pp. 49\u201360. ACM (1999)","key":"8_CR13","DOI":"10.1145\/304182.304187"},{"doi-asserted-by":"crossref","unstructured":"Huang, H., Gao, Y., Chiew, K., Chen, L., He, Q.: Towards effective and efficient mining of arbitrary shaped clusters. In: 2014 IEEE 30th International Conference on Data Engineering, pp. 28\u201339. IEEE (2014)","key":"8_CR14","DOI":"10.1109\/ICDE.2014.6816637"},{"issue":"11","key":"8_CR15","doi-asserted-by":"crossref","first-page":"2385","DOI":"10.1109\/TIP.2009.2025923","volume":"18","author":"MP Sampat","year":"2009","unstructured":"Sampat, M.P., Wang, Z., Gupta, S., Bovik, A.C., Markey, M.K.: Complex wavelet structural similarity: a new image similarity index. IEEE Trans. Image Process. 18(11), 2385\u20132401 (2009)","journal-title":"IEEE Trans. Image Process."},{"key":"8_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/11590316_1","volume-title":"Pattern Recognition and Machine Intelligence","author":"Anil K Jain","year":"2005","unstructured":"Jain, Anil K., Law, M.H.C.: Data clustering: a user\u2019s dilemma. In: Pal, S.K., Bandyopadhyay, S., Biswas, S. (eds.) PReMI 2005. LNCS, vol. 3776, pp. 1\u201310. Springer, Heidelberg (2005). doi: 10.1007\/11590316_1"}],"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\/978-3-319-67274-8_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T01:15:12Z","timestamp":1750900512000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-67274-8_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319672731","9783319672748"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-67274-8_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}