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Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study [article]

Md. Abul Hasnat, Julien Velcin, Stéphane Bonnevay, Julien Jacques
2015 arXiv   pre-print
Additionally, we propose a novel MBC method by efficiently combining the partitional and hierarchical clustering techniques.  ...  Our study identifies appropriate strategies to be used for discrete data analysis with the MBC methods.  ...  Acknowledgments This work is funded by the project ImagiWeb ANR-2012-CORD-002-01.  ... 
arXiv:1505.02324v2 fatcat:owmk3ropwbe3tiu672rwlwuary

Evaluation of E-Learners Behaviour using Different Fuzzy Clustering Models: A Comparative Study [article]

Mofreh A. Hogo
2010 arXiv   pre-print
The work presented the use of different fuzzy clustering techniques as fuzzy c-means and kernelized fuzzy c-means to find the learners' categories and predict their profiles.  ...  This paper introduces an evaluation methodologies for the e-learners' behaviour that will be a feedback to the decision makers in e-learning system.  ...  The main motives of using the kernel methods consist in: (1) inducing a class of robust non-Euclidean distance measures for the original data space to derive new objective functions and thus clustering  ... 
arXiv:1003.1499v1 fatcat:zasj5tcy6vafjbzkr4vtw6fmu4

Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study [chapter]

Md. Abul Hasnat, Julien Velcin, Stéphane Bonnevay, Julien Jacques
2015 Lecture Notes in Computer Science  
Additionally, we propose a novel MBC method by efficiently combining the partitional and hierarchical clustering techniques.  ...  Our study identifies appropriate strategies to be used for discrete data analysis with the MBC methods.  ...  Acknowledgments This work is funded by the project ImagiWeb ANR-2012-CORD-002-01.  ... 
doi:10.1007/978-3-319-24465-5_11 fatcat:7txnjfmvhnczbmuhjsu4r6b4rq

A Comparative Study of Different Density based Spatial Clustering Algorithms

K. NafeesAhmed, T. Abdul Razak
2014 International Journal of Computer Applications  
This paper presents a comparative study of different density based spatial clustering algorithms, and the merits and limitations of the algorithms are also evaluated.  ...  Among these, the density based technique is best suitable for spatial clustering.  ...  [13] presents a new algorithm called VDBSCAN for the aim of varieddensity datasets study.  ... 
doi:10.5120/17393-7942 fatcat:mj2ntugwo5hp7huz7kznrc3nxm

A clustering approach to time series forecasting using neural networks: A comparative study on distance-based vs. feature-based clustering methods [article]

Manie Tadayon, Yumi Iwashita
2021 arXiv   pre-print
dynamic measurements for forecasting.  ...  We also investigate the importance of performing techniques such as anomaly detection and clustering on forecasting accuracy.  ...  In [20] the authors performed a comparative study of several missing value imputation techniques such as Singular Value Decomposition (SVD) based method (SVDimpute), weighted K-nearest neighbors (KNNimpute  ... 
arXiv:2001.09547v2 fatcat:nn2as2eu3zfjdku5y5tufydiqe

Techniques for measuring the stability of clustering: A comparative study [chapter]

Vijay V. Raghavan, M. Y. L. Ip
Research and Development in Information Retrieval  
A number of techniques that appear to be suitable for measuring the stability of clustering have been published in the literature.  ...  These measures are considered in the context of analysing the stability characteristics of clustering techniques and are c o m p a r e d using a f r a m e w o r k developed for this purpose.  ...  IV EARLIER WORK Before the techniques for measuring stability of clustering are compared, the earlier work in evaluating stability and the related area of comparison of classifications is reviewed.  ... 
doi:10.1007/bfb0036348 dblp:conf/sigir/RaghavanI82 fatcat:bx2usvj4vjfl3fmmbjrz6wfdbq

A Graph-based Clustering Approach to Evaluate Interestingness Measures: A Tool and a Comparative Study [chapter]

Xuan-Hiep Huynh, Fabrice Guillet, Julien Blanchard, Pascale Kuntz, Henri Briand, Régis Gras
2007 Studies in Computational Intelligence  
Many interestingness measures may be found in the literature, and many authors have discussed and compared interestingness properties in order to improve the choice of the most suitable measures for a  ...  This graph-based clustering approach is used to compare and discuss the behavior of thirty-six interestingness measures on two prototypical and opposite datasets: a highly correlated one and a lowly correlated  ...  [11] studied the similarity measures for the clustering of similar stocks. Gras et al.  ... 
doi:10.1007/978-3-540-44918-8_2 fatcat:s4a7lhzcxreybh5pclbdvbuzya

A Comparative Study of Existing Cluster-Based Routing Protocols in Wireless Sensor Networks

Pooja Mishra, Sanjiv Sharma
2016 International Journal of Future Generation Communication and Networking  
In literature review, researchers proposed a number of routing protocols in WSN. In which cluster-based routing protocols shows better performance as compare to other routing protocols.  ...  The limitations of EECS [10] are as follows: (1) A lot of energy is used to communicate between CH and BS due to single-hop communications. (2) It uses global information for communication, which made  ...  [10] presented various cluster-based routing protocols in WSN and compared different clustering methods on the basis of various performance measures such as cluster stability, scalability, delivery  ... 
doi:10.14257/ijfgcn.2016.9.7.05 fatcat:xor57pdxobalbmhhnfdj77bm4a

A comparative performance study of hybrid firefly algorithms for automatic data clustering

Absalom E. Ezugwu, Moyinoluwa B. Agbaje, Nahla Aljojo, Rosanne Els, Haruna Chiroma, Mohamed Abd Elaziz
2020 IEEE Access  
The experimental results show that the new clustering methods depict high superiority in comparison with existing standalone and other hybrid metaheuristic techniques in terms of clustering validity measures  ...  Many studies have shown that the firefly algorithm is a very robust, efficient and effective nature-inspired swarm intelligence global search technique, which has been successfully applied to solve diverse  ...  In this study, we define the cluster validity index as a function J , such that a given clustering B, and a similarity measure V it is defined as J (B, V ).  ... 
doi:10.1109/access.2020.3006173 fatcat:ej7i5lwzwzeulmipu5s4cbw3sa

A comparative study on energy efficient clustering based on metaheuristic algorithms for WSN

2022 International Journal of Advanced Technology and Engineering Exploration  
The EEC method involves forming the appropriate quantity of clusters and selecting cluster heads in a dynamic manner.  ...  Different energy-efficient clustering (EEC) methods based on artificial bee colony optimization (ABC) are applied for the WSN in this comparative research to increase the network's energy efficiency.  ...  of Technology, Bangalore, Karnataka, India for their valuable research guidance and support throughout the completion of this project.  ... 
doi:10.19101/ijatee.2021.874823 fatcat:suf3p2nbozcepbpw5qdwvernze

Clustering and layering of In adatoms on low and high index silicon surfaces: A comparative study

Jithesh Kuyyalil, Govind, Mahesh Kumar, S.M. Shivaprasad
2010 Surface Science  
We present here a first report on submonolayer adsorption and residual thermal desorption studies of In adatoms on reconstructed high index Si (55 12)-2x1 surface and compare it with the observations on  ...  These conventional wide area techniques provide an understanding of atomistic issues involved in the evolution of the interface.  ...  One of the authors OK) acknowledges the vec for a Junior Research Fellowship.  ... 
doi:10.1016/j.susc.2010.08.006 fatcat:qth3k456pfatjfxs77u7ymhorm

Why are Good Comparative Studies of Networks so Rare? Practical Lessons from a Study on French Clusters

Thierry Weil, Anna Glaser, milie-Pauline Gallii, Valerie Merindol, Philippe Lefebvre, Frrddrique Pallez
2010 Social Science Research Network  
We could then define a cluster typology so that comparisons would be much more relevant between clusters of the same class.  ...  This could eventually lead us to create performance indicators adapted to the specificities of each class of clusters and improve the monitoring of individual clusters and of the national cluster policy  ...  Scope of measurement Before talking about the actual performance of a cluster, we need to determine the perimeter of the measurement.  ... 
doi:10.2139/ssrn.2650118 fatcat:xbxhqsb2sbgwdf3vhpu4lhmg5e

Effects of endemic hydrocolloids and xanthan gum on foaming properties of white button mushroom puree studied by cluster analysis: A comparative study

Atena Pasban, Mohebbat Mohebbi, Hashem Pourazarang, Mehdi Varidi
2014 Journal of Taibah University for Science  
In K-means clustering with five clusters, the first cluster of a group of samples with minimum foam density and relatively low drainage volume was selected.  ...  The K-means algorithm was used as a clustering method to select the most suitable hydrocolloid.  ...  SM88, Sony) at 1500 rpm for 3 min. Determination of foam density Foam density was determined by weighing 50 ml of the mixture in a 50-ml measuring cylinder.  ... 
doi:10.1016/j.jtusci.2013.09.004 fatcat:d5go2poeiveqfmrxhhe3klokvi

Neutron Stars : A Comparative Study [article]

Mehedi Kalam, Sk. Monowar Hossein, Sajahan Molla
2015 arXiv   pre-print
We have also indicated the possible radii of the different stars which needs further study. Finally we have examined the stability for such type of theoretical structure.  ...  From our study we have calculated mass(M), compactness(u) and surface red-shift(Zs ) for the neutron stars namely PSR J1614-2230, PSR J1903+327, Cen X-3, SMC X-1, Vela X-1, Her X-1 and compared with the  ...  Acknowledgment MK and SMH would like to thank IUCAA, Pune India and IMSc, Chennai, India for providing research facilities under Visiting Associateship.  ... 
arXiv:1510.07015v1 fatcat:ufpkw74eebfyjnkwld53ufybim

Structural properties of transition-metal clusters via force-biased Monte Carlo and ab initio calculations: A comparative study

Dil K. Limbu, Raymond Atta-Fynn, David A. Drabold, Stephen R. Elliott, Parthapratim Biswas
2017 Physical review B  
We present a force-biased Monte Carlo (FMC) method for structural modeling of the transition-metal clusters of Fe, Ni, and Cu of size 13, 30, and 55 atoms.  ...  The structural configurations of the clusters, obtained from the biased Monte Carlo approach, are analyzed and compared with the same from the Cambridge Cluster Database (CCD) upon relaxation of the clusters  ...  The Steinhardt BOP often provides a simple and effective measure for determining the presence of micro-or para-crystalline structural units in solids.  ... 
doi:10.1103/physrevb.96.174208 fatcat:qznwxj35znbatcjuh4nf52wzzm
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