"AUTOCLUST+: Automatic Clustering of Point-Data Sets in the Presence of Obstacles"

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Book	Author(s)	Year	Publisher
Fuzzy Sets, Rough Sets, Multisets and Clustering	Vicenç Torra; Anders Dahlbom; Yasuo Narukawa	1st ed. 2017	Springer International Publishing
Typefinding recursive structures: a data-flow analysis in the presence of infinite type sets.	Weiss, Gerald.	1986	Courant Institute of Mathematical Sciences, New York University
Algorithms for Clustering Data	Anil K. Jain, Richard C. Dubes	1988	Prentice Hall College Div
Robust confidence sets in the presence of weak instruments	Anna Mikusheva	2007	Massachusetts Institute of Technology, Dept. of Economics
Robust confidence sets in the presence of weak instruments	Anna Mikusheva	2007	Massachusetts Institute of Technology, Dept. of Economics
Robust confidence sets in the presence of weak instruments	Anna Mikusheva	2007	Massachusetts Institute of Technology, Dept. of Economics
Data Mining in Large Sets of Complex Data	Robson Leonardo Ferreira Cordeiro; Christos Faloutsos; Caetano Traina Júnior	2013	Springer London
Acquisition of telecommunications in the Navy from an automatic data processing (ADP) point of view	Ann Margaret Sheedy	1982	Naval Postgraduate School
Data Science : Innovative Developments in Data Analysis and Clustering	Francesco Palumbo; Angela Montanari; Maurizio Vichi	1st ed. 2017	Springer International Publishing
Partitioning point sets in 4 dimensions.	Richard Cole	1984	Courant Institute of Mathematical Sciences, New York University
Partitioning point sets in arbitrary dimension.	Richard Cole	1985	Courant Institute of Mathematical Sciences, New York University
Automatic data processing	Kenneth E. Iverson, Frederick P. Brooks	1963	Wiley
Grouping Multidimensional Data: Recent Advances in Clustering	Jacob Kogan; Charles Nicholas; Marc Teboulle	2006	Springer Berlin Heidelberg
Recent Developments in Clustering and Data Analysis	Chikio Hayashi; Michel Jambu and Edwin Diday	1988	Academic Press
Clustering Methodology for Symbolic Data	Lynne Billard	2019	John Wiley & Sons
Data Clustering: Algorithms and Applications	Charu C. Aggarwal; Chandan K. Reddy	2014	Routledge
Separation of mixed data sets into homogeneous sets	Harold L. Crutcher	1977	Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Data Service, National Climatic Center;for sale by the Supt. of Docs., U.S. Govt. Print. Off.
Acquisition of automatic data processing in the Navy	Arthur Clarke Argue	1979	U.S. Naval Postgraduate School
Clustering for Data Mining: A Data Recovery Approach	Boris Mirkin	2005	Chapman and Hall/CRC
Clustering for Data Mining: A Data Recovery Approach	Boris Mirkin	2005	Chapman & Hall – CRC
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AUTOCLUST+: Automatic Clustering of Point-Data Sets in the Presence of Obstacles	Vladimir Estivill-Castro; Ickjai Lee	Temporal, Spatial, and Spatio-Temporal Data Mining: First International Workshop TSDM 2000 Lyon, France, September 12, 2000 Revised Papers	John F. Roddick; Kathleen Hornsby	2001	Springer Berlin Heidelberg
Clustering in Massive Data Sets	Fionn Murtagh	Handbook of Massive Data Sets	James Abello; Panos M. Pardalos; Mauricio G.C. Resende	2002	Springer US
Automatic Clustering in Large Sets of Time Series	Robert Azencott; Viktoria Muravina; Rasoul Hekmati; Wei Zhang; Michael Paldino	Contributions to Partial Differential Equations and Applications	B. N. Chetverushkin; W. Fitzgibbon; Y.A. Kuznetsov; P. Neittaanmäki; J. Periaux; O. Pironneau	1st ed. 2019	Springer International Publishing
Clustering Methodology in Mixed Data Sets	Jacobo Gerardo González León; Miguel Félix Mata Rivera	Telematics and Computing: 8th International Congress, WITCOM 2019, Merida, Mexico, November 4–8, 2019, Proceedings	Miguel Felix Mata-Rivera; Roberto Zagal-Flores; Cristian Barría-Huidobro	1st ed. 2019	Springer International Publishing
Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators	Xin Wang; Camilo Rostoker; Howard J. Hamilton	Knowledge Discovery in Databases: PKDD 2004: 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings	Jean-Francois Boulicaut; Floriana Esposito; Fosca Giannotti; Dino Pedreschi	2004	Springer Berlin Heidelberg
Dominance in the presence of obstacles	Mark T. de Berg; Mark H. Overmars	Graph-Theoretic Concepts in Computer Science: International Workshop WG ` 88 Amsterdam, The Netherlands, June 15-17, 1988. Proceedings	Jan van Leeuwen	1989	Springer Berlin Heidelberg
36 Clustering Large Data Sets		Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications	Oded Z. Maimon, Lior Rokach	2005	World Scientific Publishing Company
Clustering of Large Data Sets in the Life Sciences	Ketan Patel; Hugh M. Cartwright	Soft Computing Approaches in Chemistry	Hugh M. Cartwright; Les M. Sztandera	2003	Springer Berlin Heidelberg
Clustering in the Presence of Outliers	M. T. Gallegos	Exploratory Data Analysis in Empirical Research: Proceedings of the 25th Annual Conference of the Gesellschaft für Klassifikation e. V. , University of Munich, March 14–16, 2001	Manfred Schwaiger; Otto Opitz	2003	Springer Berlin Heidelberg
Clustering in the Presence of Noise	Peter A. Tass	Phase Resetting in Medicine and Biology: Stochastic Modelling and Data Analysis	Peter A. Tass	1st ed. 1999. 2nd printing 2007	Springer Berlin Heidelberg
Spatial Queries in the Presence of Obstacles	Jun Zhang; Dimitris Papadias; Kyriakos Mouratidis; Manli Zhu	Advances in Database Technology - EDBT 2004: 9th International Conference on Extending Database Technology, Heraklion, Crete, Greece, March 14-18, 2004, Proceedings	Elisa Bertino; Stavros Christodoulakis; Dimitris Plexousakis; Vassilis Christophides; Manolis Koubarakis; Klemens Böhm; Elena Ferrari	2004	Springer Berlin Heidelberg
Efficient Clustering of Web-Derived Data Sets	Luís Sarmento; Alexander Kehlenbeck; Eugénio Oliveira; Lyle Ungar	Machine Learning and Data Mining in Pattern Recognition: 6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009, Proceedings	Petra Perner	2009	Springer Berlin Heidelberg
Rapid Initial Clustering of Large Data Sets	Hugh G. Gauch Jr.	Classification and Ordination: Symposium on advances in vegetation science, Nijmegen, The Netherlands, May 1979	E. van der Maarel	1980	Springer Netherlands
Fully Dynamic Clustering of Metric Data Sets	Stefano Lodi	Advances in Databases: 19th British National Conference on Databases, BNCOD 19, Sheffield, UK, July 17-19, 2002. Proceedings	Barry Eaglestone; Siobhan North; Alexandra Poulovassilis	2002	Springer Berlin Heidelberg
Point Estimation in Case of Small Data Sets	Zdeněk Fabián	Transactions of the Tenth Prague Conferences: Information Theory, Statistical Decision Functions, Random Processes Volume A & Volume B	J.A. Vísek	1988	Springer Netherlands
point of presence	Martin H. Weik	Computer Science and Communications Dictionary	Martin Weik	2001	Springer US
Point of Presence		Networking Essentials:	Jeffrey S. Beasley, Piyasat Nilkaew	2022	Pearson IT Certification \| Pearson Education
Point of Presence		Desktop Encyclopedia of Voice and Data Networking	Nathan J. Muller	2000	McGraw-Hill Osborne Media
Point of presence.		Paris sketches /	Avitabile, Franck,; Palladino, Pino,; Katché, Manu,
Clustering Very Large Dissimilarity Data Sets	Barbara Hammer; Alexander Hasenfuss	Artificial Neural Networks in Pattern Recognition: 4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010, Proceedings	Friedhelm Schwenker; Neamat El Gayar	2010	Springer Berlin Heidelberg
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