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L. C. Jain

Bio: L. C. Jain is an academic researcher. The author has contributed to research in topics: Canopy clustering algorithm & Fuzzy classification. The author has an hindex of 1, co-authored 1 publications receiving 124 citations.

Papers
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Book
01 Jan 1997
TL;DR: The general Fuzzy Clustering Model Using Aggregation Operators for Asymmetric Similarity and its application in 3-way data is described.
Abstract: Contents: Introduction to Fuzzy Clustering.- Fuzzy Clustering for 3-way Data.- Additive Clustering Models.- General Fuzzy Clustering Model Using Aggregation Operators.- Fuzzy Clustering for Asymmetric Similarity.

124 citations


Cited by
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Proceedings ArticleDOI
18 Dec 2006
TL;DR: This work studies various pruning methods to avoid expensive expected distance calculation in the UK-means algorithm, which is based on the traditional K-mean algorithm.
Abstract: We study the problem of clustering data objects whose locations are uncertain. A data object is represented by an uncertainty region over which a probability density function (pdf) is defined. One method to cluster uncertain objects of this sort is to apply the UK-means algorithm, which is based on the traditional K-means algorithm. In UK-means, an object is assigned to the cluster whose representative has the smallest expected distance to the object. For arbitrary pdf, calculating the expected distance between an object and a cluster representative requires expensive integration computation. We study various pruning methods to avoid such expensive expected distance calculation.

260 citations

Journal ArticleDOI
01 Feb 2004
TL;DR: A notion of credal partition is introduced, which subsumes those of hard, fuzzy, and possibilistic partitions, allowing to gain deeper insight into the structure of the data.
Abstract: A new relational clustering method is introduced, based on the Dempster-Shafer theory of belief functions (or evidence theory). Given a matrix of dissimilarities between n objects, this method, referred to as evidential clustering (EVCLUS), assigns a basic belief assignment (or mass function) to each object in such a way that the degree of conflict between the masses given to any two objects reflects their dissimilarity. A notion of credal partition is introduced, which subsumes those of hard, fuzzy, and possibilistic partitions, allowing to gain deeper insight into the structure of the data. Experiments with several sets of real data demonstrate the good performances of the proposed method as compared with several state-of-the-art relational clustering techniques.

244 citations

Journal ArticleDOI
TL;DR: In this paper, Derudder et al. used fuzzy classification analysis to define 22 urban arenas with their core and hybrid memberships, which are constituted by interweaving hierarchical and regional processes.
Abstract: DERUDDER B., TAYLOR P. J., WITLOX F. and C ATALANO G. (2003) Hierarchical tendencies and regional patterns in the world city network: a global urban analysis of 234 cities, Reg. Studies 37, 875–886. Previous explorations of the world city network have tended to focus on analyses of its upper ranks. Using a database on the global strategies of 100 financial and business firms across 234 cities, fuzzy classification analysis is used to define 22 urban arenas. With their " core' and "hybrid' memberships, these arenas are constituted by interweaving hierarchical and regional processes. The results include evaluations of the previously unassessed outer reaches of the world city network.D ERUDDER B., TAYLOR P. J., WITLOX F. et CATALANO G. (2003) Les tendances hierarchiques et les structures regionales du reseau de villes de taille mondiale: une analyse urbano-mondiale de 234 grandes villes, Reg. Studies 37, 875–886. Des etudes anterieures du reseau de villes de taille mondiale ont eu tendance a porter sur une a...

232 citations

Journal ArticleDOI
TL;DR: This study lays the foundation for the development of a simulation tool which is general, flexible, intuitive, simple to use and contains default values for most of the system's parameters.
Abstract: In recent years, hospitals have been vigorously searching for ways to reduce costs and improve productivity. One tool, simulation, is now widely accepted as an effective method to assist management in evaluating different operational alternatives. It can help improve existing Emergency Departments (EDs) and assist in planning and designing new EDs. In order to increase the acceptance of simulation in healthcare systems in general and EDs in particular, hospital management should be directly involved in the development of these projects. Such involvement will also bolster the simulation's credibility. In addition, it is important to simplify simulation processes as much as is reasonably possible and use visual aids or animation that will heighten users' confidence in the model's ability. This study lays the foundation for the development of a simulation tool which is general, flexible, intuitive, simple to use and contains default values for most of the system's parameters.

138 citations