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CoFD: An Algorithm for Non-distance Based Clustering in High Dimensional Spaces*
[chapter]
2002
Lecture Notes in Computer Science
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In this paper, we propose CoFD algorithm, which is a non-distance based clustering algorithm for high dimensional spaces. ...
Traditional clustering algorithms use distance functions to measure similarity and are not suitable for high dimensional spaces. ...
In this paper, we present CoFD 1 , a non-distance based algorithm for clustering in high dimensional spaces. ...
doi:10.1007/3-540-46145-0_6
fatcat:owyyyabqbjcn3gx5pk666cccbq
IFD: Iterative Feature and Data Clustering
[chapter]
2004
Proceedings of the 2004 SIAM International Conference on Data Mining
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In this paper, we propose a new clustering algorithm, IFD 1 , based on a cluster model of data coefficients D and feature coefficients F. ...
In this section, we first describe the cluster model used in IFD clustering, followed by the formulation from matrix perspective. ...
based and grid-based [7] . Most of these algorithms use distance functions as objective criteria and are not effective in high dimensional spaces. ...
doi:10.1137/1.9781611972740.49
dblp:conf/sdm/LiM04
fatcat:e5ajdkl3jbcaflxmosf4szhfsu
A Survey on Utilization of the Machine Learning Algorithms for the Prediction of Erythemato Squamous Diseases
2014
Research Journal of Applied Sciences Engineering and Technology
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The Asian and African race people are less affected as they have melanin in their skin. ...
In the advent of ozone depletion the ultra violet radiation is the major cause of many skin diseases, which are leading to skin cancer. ...
An Algorithm for Non-distance Based Clustering in High Dimensional Spaces, DaWaK 2002, LNCS2454, pp: 52-62. 4. Castellano, G., C. Castiello, A.M. Fanelli and C. Leone, 2003. ...
doi:10.19026/rjaset.7.746
fatcat:3mhj7vukx5hyfa6kzuordhr7g4
Geodesics in Shape Space via Variational Time Discretization
[chapter]
2009
Lecture Notes in Computer Science
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The numerical relaxation of the energy is performed via an efficient multi-scale procedure in space and time. ...
Geodesic distance is measured on the basis of viscous dissipation inside the objects (color-coded in the middle row from blue, low dissipation, to red, high dissipation), which is induced by a pairwise ...
Benedikt Wirth was supported by BIGS Mathematics and the Hausdorff Center for Mathematics at Bonn University. Furthermore, the authors thank Sergio Conti for valuable hints on the physical model. ...
doi:10.1007/978-3-642-03641-5_22
fatcat:tqvp7pqtkzcenenvmgjlakuegq
Extension of FCM by introducing new distance metric
2020
SN Applied Sciences
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The present article made a significant novel contribution in statistical methodology and dealing with novel and original data analytical clustering algorithm for assigning big data sets into disjoint clusters ...
The efficiency of proposed clustering algorithm is checked by considering numerous examples from different research papers in terms of fitness value, inter-cluster distance and accuracy. ...
[9] introduced an algorithm known as CoFD algorithm for the clustering of high-dimensional data set. ...
doi:10.1007/s42452-020-2417-9
fatcat:ggcmcc7htnaevc7u44dge5d37m
Variational Methods in Shape Analysis
[chapter]
2015
Handbook of Mathematical Methods in Imaging
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Acknowledgments The model proposed in > Sect. .. has been developed in cooperation with Leah Bar and Guillermo Sapiro from the University of Minnesota. ...
Benedikt Wirth has been funded by the Bonn International Graduate School in Mathematics. ...
Memoli and Sapiro use this distance for clustering shapes described by point clouds, and they discuss efficient numerical algorithms to compute Gromov-Hausdorff distances based on a robust notion of intrinsic ...
doi:10.1007/978-1-4939-0790-8_56
fatcat:cd7zghqpzrcdzdfezryhyztxz4
Variational Methods in Shape Analysis
[chapter]
2011
Handbook of Mathematical Methods in Imaging
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The analysis of shapes as elements in a frequently infinite-dimensional space of shapes has attracted increasing attention over the last decade. ...
In what follows we discuss and extensively compare the path-based and the state-based approach. ...
Acknowledgements The model proposed in Sec. 5 has been developed in cooperation with Leah Bar and Guillermo Sapiro from the University of Minnesota. ...
doi:10.1007/978-0-387-92920-0_31
fatcat:o4hjuzvqa5gh3i6e376lslehzi
A Continuum Mechanical Approach to Geodesics in Shape Space
2010
International Journal of Computer Vision
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The numerical relaxation of the energy is performed via an efficient multi-scale procedure in space and time. ...
to rigid body motions and ensures a 1-1 correspondence along the induced flow in shape space. ...
Benedikt Wirth was supported by BIGS Mathematics and the Hausdorff Center for Mathematics at Bonn University. Furthermore, the authors thank Sergio Conti for valuable hints on the physical model. ...
doi:10.1007/s11263-010-0416-9
fatcat:k7wjgab4svenfcwn27qacxxjyi
Geological Realization Rankings for Steam-Assisted Gravity Drainage (SAGD) Reservoir Dynamic Modeling
[article]
2018
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Conducting dynamic SAGD reservoir simulation for all stochastic geological realizations for ranking is not viable in practice due to excessive amounts of computer time required especially when modelling ...
order to classify high, medium, and low performing SAGD realizations prior to SAGD simulation. ...
Peace and prayers be upon Mohammed, his family and companions, and all those who follow in ...
doi:10.11575/prism/34973
fatcat:6ndr56e7nzejfckofq3c7dvfv4
Structure, function and evolution of flavin/deazaflavin dependent oxidoreductases (FDORs) in mycobacteria
[article]
2016
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Like other mycobacteria, M. tuberculosis produces the cofactor F420 found in Actinobacteria and Archaea, which is important, through unknown mechanisms, for its survival during oxidative stress and in ...
This project presents the characterisation of the largest F420 utilizing protein family in mycobacteria known as the flavin/deazaflavin dependent oxidoreductases (FDORs), forming the basis for identifying ...
Similar to traditional maximum likelihood methods, FastTree first searches for an approximate tree topology using a fast distance based method (Price et al. 2010 ). ...
doi:10.25911/5d7636e0e9538
fatcat:j4tttkv3mfaxdiqvcqd3vlwfou
Molecular Mechanisms Underlying Adhesion and Regulation of Virulence of Human Enterotoxigenic Escherichia coli
2018
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Instead, we demonstrated that binding activity for asialo-GM1 resides in CfaE and is essential for pilus binding to intestinal epithelial cells. ...
We concluded that the binding activities of CFA/I pili for asialo-GM1, erythrocytes and intestinal cells are inseparable, depend on the same amino acid residues in CfaE and therefore represent the same ...
Wild-type and mutant pili were then compared for their asialo-GM1 binding activity in an ELISA-based assay (Methods 3.11) (Fig. 4.6, panel A) . ...
doi:10.25904/1912/976
fatcat:ya5kkvocmfaqtkmxspstv42d5a