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Fuzzy set
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231	Clustering Trajectories of Moving Objects in an Uncertain World Nikos Pelekis1, Ioannis Kopanakis2, Evangelos E. Kotsifakos1, Elias Frentzos1, Yannis Theodoridis1 1 Dept. of Informatics, Univ. of Piraeus, Greece {npeleki Add to Reading List Source URL: infolab.cs.unipi.gr Language: English - Date: 2014-02-06 09:36:22 Logic in computer science Fuzzy logic Cluster analysis K-means clustering DBSCAN Fuzzy set BIRCH Statistics Fuzzy clustering Artificial intelligence
232	Speedup of Fuzzy and Possibilistic Kernel c-Means for Large-Scale Clustering Timothy C. Havens, Radha Chitta, Anil K. Jain, and Rong Jin Department of Computer Science and Engineering Michigan State University, East Lans Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2011-04-11 12:46:48 Cluster analysis K-means clustering Determining the number of clusters in a data set Spectral clustering Statistics Multivariate statistics Fuzzy clustering
233	Package ‘e1071’ March 17, 2014 Version[removed]Date[removed]Title Misc Functions of the Department of Statistics (e1071), TU Wien Imports graphics, grDevices, class Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-03-17 07:12:10 Data mining Geostatistics K-means clustering Single-linkage clustering Fuzzy clustering Hierarchical clustering Bootstrapping Consensus clustering Determining the number of clusters in a data set Statistics Data analysis Cluster analysis
234	Microsoft Word - ijita13-4.doc Add to Reading List Source URL: artint.com.ua Language: English - Date: 2012-12-06 19:29:07 Data analysis Data mining Geostatistics Genetic algorithm K-means clustering Fuzzy clustering Determining the number of clusters in a data set Statistics Cluster analysis Multivariate statistics
235	Referee Results ‫ﺗﻮﺿﻴﺤﺎﺕ‬ ‫ﻧﺘﺎﻳﺞ‬ ‫ﻋﻨﻮﺍﻥ ﻣﻘﺎﻻﺕ‬ Add to Reading List Source URL: icfs1391.umz.ac.ir Language: English - Date: 2012-10-06 07:32:35 Fuzzy control system Fuzzy set Fuzzy subalgebra Type-2 fuzzy sets and systems Neuro-fuzzy Fuzzy logic Logic Mathematical logic
236	<4D6963726F736F667420576F7264202D20D2E3C7E4C8E4CFED656E676C6973682081E4CC20D4E4C8E5> Add to Reading List Source URL: icfs1391.umz.ac.ir Language: English - Date: 2012-10-24 11:08:48 Fuzzy subalgebra Fuzzy control system Fuzzy set Fuzzy clustering Fuzzy logic Logic Mathematical logic
237	In this paper, we examine the performance of four fuzzy rule generation methods on Wisconsin breast cancer data. The first method generates fuzzy if-then rules using the mean and the standard deviation of attribute value Add to Reading List Source URL: www.modern-medical-science.site88.net Language: English - Date: 2013-02-01 20:10:05 Fuzzy control system Fuzzy classification Fuzzy set Fuzzy rule Histogram Artificial neural network Type-2 fuzzy sets and systems Neuro-fuzzy Fuzzy logic Logic Mathematical logic
238	PDF Document Add to Reading List Source URL: www.modern-medical-science.site88.net Language: English - Date: 2013-02-01 20:13:03 Fuzzy logic Binary relation Fuzzy control system T-norm Finitary relation Function Associative property Fuzzy set Equivalence relation Mathematics Algebra Logic
239	FUZZY SET QUALITATIVE COMPARATIVE ANALYSIS THOMAS ELLIOTT 1. Introduction fsQCA is, fundamentally, an analysis of set relations. Sets are groups of things. In formal set theory, sets are usually composed of numbers, or o Add to Reading List Source URL: www.socsci.uci.edu Language: English - Date: 2013-01-17 16:13:26 Science Causal sets Order theory Quantum gravity Set theory Causality Fuzzy set Fuzzy control system Perceptron Fuzzy logic Logic Physics
240	ON DETERMINING THE NUMBER OF CLUSTERS–A COMPARATIVE STUDY By Brian Bies Kathryn Dabbs and Add to Reading List Source URL: ima.umn.edu Language: English - Date: 2011-10-06 10:33:24 Determining the number of clusters in a data set K-means clustering Spectral clustering Computer cluster Fuzzy clustering Consensus clustering Statistics Cluster analysis Multivariate statistics

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