{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T05:52:33Z","timestamp":1720590753542},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2006,7,25]],"date-time":"2006-07-25T00:00:00Z","timestamp":1153785600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2006,12,15]]},"DOI":"10.1007\/s00500-006-0111-5","type":"journal-article","created":{"date-parts":[[2006,7,24]],"date-time":"2006-07-24T12:04:35Z","timestamp":1153742675000},"page":"479-488","source":"Crossref","is-referenced-by-count":10,"title":["Visualization of fuzzy clusters by fuzzy Sammon mapping projection: application to the analysis of phase space trajectories"],"prefix":"10.1007","volume":"11","author":[{"given":"Balazs","family":"Feil","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Balazs","family":"Balasko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Janos","family":"Abonyi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2006,7,25]]},"reference":[{"issue":"3","key":"111_CR1","first-page":"1149","volume":"1","author":"J Abonyi","year":"2002","unstructured":"Abonyi J, Lakatos BG, Ulbert ZS (2002) Modelling and control of isothermal crystallizers by self organising maps. Chem Eng Trans 1(3):1149","journal-title":"Chem Eng Trans"},{"key":"111_CR2","doi-asserted-by":"crossref","unstructured":"Abonyi J, Feil B, Babu\u0161ka R (2004) State-space reconstruction and prediction of chaotic time series based on fuzzy clustering. IEEE SMC 2004, October 10\u201313","DOI":"10.1109\/ICSMC.2004.1400684"},{"key":"111_CR3","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1016\/S0378-4371(99)00192-2","volume":"271","author":"Y Ashkenazy","year":"1999","unstructured":"Ashkenazy Y (1999) The use of generalized information dimension in measuring fractal dimension of time series. Physica A 271:427\u2013447","journal-title":"Physica A"},{"key":"111_CR4","doi-asserted-by":"crossref","first-page":"1131","DOI":"10.1016\/S0960-0779(03)00300-X","volume":"19","author":"M Ataei","year":"2004","unstructured":"Ataei M, Lohmann B, Khaki-Sedigh A, Lucas C (2004) Model based method for estimating an attractor dimension from uni\/ multivariate chaotic time series with application to Bremen climatic dynamics. Chaos Solitons Fractals 19:1131\u20131139","journal-title":"Chaos Solitons Fractals"},{"key":"111_CR5","unstructured":"Babu\u0161ka R, Verbruggen HB (1991) Fuzzy set methods for local modeling and identification. Multiple model approaches to nonlinear modeling and control. Taylor & Francis, London, pp 75\u2013100"},{"key":"111_CR6","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-0450-1","volume-title":"Pattern recognition with fuzzy objective function algorithms","author":"JC Bezdek","year":"1981","unstructured":"Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Plenum, New York"},{"key":"111_CR7","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/S0167-2789(97)00118-8","volume":"110","author":"C Cao","year":"1997","unstructured":"Cao C, (1997) Practical method for determining the minimum embedding dimension of a scalar time series. Physica D 110:43\u201350","journal-title":"Physica D"},{"key":"111_CR8","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/0167-2789(89)90074-2","volume":"35","author":"M Casdagli","year":"1989","unstructured":"Casdagli M (1989) Nonlinear prediction of chaotic time series. Physica D 35:335\u2013356","journal-title":"Physica D"},{"issue":"8","key":"111_CR9","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1103\/PhysRevLett.59.845","volume":"59","author":"JD Farmer","year":"1987","unstructured":"Farmer JD, Sidorowich JJ (1987) Predicting chaotic time series. Phys Rev Lett 59(8):845\u2013848","journal-title":"Phys Rev Lett"},{"key":"111_CR10","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/0167-2789(83)90298-1","volume":"9","author":"P Grassberger","year":"1983","unstructured":"Grassberger P, Procaccia I (1983) Measuring the strangeness of strange attractors. Physica D 9:189\u2013208","journal-title":"Physica D"},{"key":"111_CR11","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1016\/S1464-1895(01)00137-5","volume":"26","author":"M Hanesch","year":"2001","unstructured":"Hanesch M, Scholger R, Dekkers MJ (2001) The application of fuzzy c-means cluster analysis and non-linear mapping to a soil data set for the detection of polluted sites. Phys Chem Earth 26:885\u2013891","journal-title":"Phys Chem Earth"},{"key":"111_CR12","unstructured":"Hunter Jr, Norman F (1992) Nonlinear prediction of speach signals. In: Casdagli M, Eubanks S (eds) Nonlinear modelling and forecasting. Addison-Wesley, pp 467\u2013492"},{"key":"111_CR13","doi-asserted-by":"crossref","first-page":"287","DOI":"10.3233\/ICA-2003-10305","volume":"10","author":"X Jiang","year":"2003","unstructured":"Jiang X, Adeli H (2003) Fuzzy clustering approach for accurate embedding dimension identification in chaotic time series. Integrated Comput Aided Eng 10:287\u2013302","journal-title":"Integrated Comput Aided Eng"},{"key":"111_CR14","doi-asserted-by":"crossref","unstructured":"Klawonn F, Chekhtman V, Janz E (2003) Visual inspection of fuzzy clustering results. Adv Soft Comput Eng Des Manuf 65\u201376","DOI":"10.1007\/978-1-4471-3744-3_7"},{"key":"111_CR15","unstructured":"Kovacs A, Abonyi J (2002) Vizualization of fuzzy clustering results by modified Sammon mapping. In: Proceedings of the 3rd international symposium of Hungarian researchers on computational intelligence, pp 177\u2013188"},{"key":"111_CR16","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1016\/0098-1354(94)80070-7","volume":"18","author":"BG Lakatos","year":"1994","unstructured":"Lakatos BG (1994) Stability and dynamics of continuous crystallizers. Comput Chem Eng 18:427\u2013431","journal-title":"Comput Chem Eng"},{"key":"111_CR17","unstructured":"Lakatos BG (1995) Sustained oscillation in isothermal CMSMPR crystallizers: effect of size-dependent crystall growth rate. Sapundzhiev TsJ (1995) ACH Models Chem 132:379\u2013394"},{"key":"111_CR18","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/S0031-3203(97)00064-2","volume":"31","author":"B Lerner","year":"1998","unstructured":"Lerner B, Guterman H, Aladjem M, Dinstein I, Romem Y (1998) On pattern classification with Sammon\u2019s nonlinear mapping an experimental study. Pattern Recognit 31:371\u2013381","journal-title":"Pattern Recognit"},{"issue":"4","key":"111_CR19","doi-asserted-by":"crossref","first-page":"225","DOI":"10.4173\/mic.1994.4.2","volume":"15","author":"B Lillekjendlie","year":"1994","unstructured":"Lillekjendlie B, Kugiumtzis D, Christophersen N (1994) Chaotic time series\u2014Part II: System identification and prediction. Modeling Identification Control 15(4):225\u2013243","journal-title":"Modeling Identification Control"},{"key":"111_CR20","unstructured":"Mao J, Jain AK (1995) Artifical neural networks for feature extraction and multivariate data projection. IEEE Trans Neural Netw 629\u2013637"},{"key":"111_CR21","first-page":"1143","volume":"9","author":"NR Pal","year":"1998","unstructured":"Pal NR, Eluri VK (1998) Two efficient connectionist schemes for structure preserving dimensionality reduction. IEEE Trans Neural Netw 9:1143\u20131153","journal-title":"IEEE Trans Neural Netw"},{"key":"111_CR22","doi-asserted-by":"crossref","first-page":"1307","DOI":"10.1016\/S0167-8655(97)00093-7","volume":"18","author":"D Ridder de","year":"1997","unstructured":"de Ridder D, Duin RPW (1997) Sammon\u2019s mapping using neural networks: a comparison. Pattern Recognit Lett 18:1307\u20131316","journal-title":"Pattern Recognit Lett"},{"key":"111_CR23","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1007\/BF01053745","volume":"65","author":"T Sauer","year":"1991","unstructured":"Sauer T, Yorke JA, Casdagli M (1991) Embedology. J Stat Phys 65:579\u2013615","journal-title":"J Stat Phys"},{"key":"111_CR24","first-page":"366","volume-title":"Dynamical systems and turbulence.","author":"F Takens","year":"1981","unstructured":"Takens F (1981) Detecting strange attractor in turbulence. In: Rand DA, Young LS (eds). Dynamical systems and turbulence. Springer, Berlin Heidelberg New York, pp 366\u2013381"},{"key":"111_CR25","unstructured":"Vesanto J (2000) Neural network tool for data mining: SOM Toolbox. In: Proceedings of symposium on tool environments and development methods for intelligent systems (TOOLMET2000), pp 184\u2013196"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-006-0111-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-006-0111-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-006-0111-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T01:39:49Z","timestamp":1559093989000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-006-0111-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,7,25]]},"references-count":25,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2006,12,15]]}},"alternative-id":["111"],"URL":"https:\/\/doi.org\/10.1007\/s00500-006-0111-5","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006,7,25]]}}}