Fuzzy clustering in the analysis of Fourier transform infrared spectra for cancer diagnosis.

[1]  Kyung-Whan Oh,et al.  A validity measure for fuzzy clustering and its use in selecting optimal number of clusters , 1996, Proceedings of IEEE 5th International Fuzzy Systems.

[2]  Shokri Z. Selim,et al.  A simulated annealing algorithm for the clustering problem , 1991, Pattern Recognit..

[3]  S.P. Chaudhuri,et al.  Neural networks for data fusion , 1990, 1990 IEEE International Conference on Systems Engineering.

[4]  N Stone,et al.  Raman Spectral Mapping in the Assessment of Axillary Lymph Nodes in Breast Cancer , 2003, Technology in cancer research & treatment.

[5]  Elizabeth Garrett-Mayer,et al.  Clustering and Classification Methods for Gene Expression Data Analysis , 2004 .

[6]  Alioune Ngom,et al.  A simulated annealing approach to find the optimal parameters for fuzzy clustering microarray data , 2005, XXV International Conference of the Chilean Computer Science Society (SCCC'05).

[7]  James C. Bezdek,et al.  Clustering with a genetically optimized approach , 1999, IEEE Trans. Evol. Comput..

[8]  Benjamin L. Bird FTIR imaging : a route toward automated histopathology , 2007 .

[9]  Sudipto Guha,et al.  CURE: an efficient clustering algorithm for large databases , 1998, SIGMOD '98.

[10]  George Karypis,et al.  Soft clustering criterion functions for partitional document clustering: a summary of results , 2004, CIKM '04.

[11]  Hiroshi Motoda,et al.  Feature Selection for Knowledge Discovery and Data Mining , 1998, The Springer International Series in Engineering and Computer Science.

[12]  Doheon Lee,et al.  On cluster validity index for estimation of the optimal number of fuzzy clusters , 2004, Pattern Recognit..

[13]  Michalis Vazirgiannis,et al.  c ○ 2001 Kluwer Academic Publishers. Manufactured in The Netherlands. On Clustering Validation Techniques , 2022 .

[14]  Khaled S. Al-Sultan,et al.  A tabu search-based algorithm for the fuzzy clustering problem , 1997, Pattern Recognit..

[15]  J. C. Dunn,et al.  A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .

[16]  Mary J. Nissen,et al.  Comparison of side effects between sentinel lymph node and axillary lymph node dissection for breast cancer , 2002, Annals of Surgical Oncology.

[17]  Michael R. Anderberg,et al.  Cluster Analysis for Applications , 1973 .

[18]  V. J. Rayward-Smith,et al.  Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition , 1999 .

[19]  Imaging of human colon carcinoma thin sections by FTIR microspectrometry , 2001 .

[20]  Reiner Salzer,et al.  Identification of tumor tissue by FTIR spectroscopy in combination with positron emission tomography , 2002 .

[21]  Max Diem,et al.  Infrared spectral imaging of lymph nodes: Strategies for analysis and artifact reduction. , 2005, Vibrational Spectroscopy.

[22]  L M Irwig,et al.  Fourier transform infrared spectroscopy of dysplastic, papillomavirus-positive cervicovaginal lavage specimens. , 1995, Gynecologic oncology.

[23]  Max Diem,et al.  Imaging of colorectal adenocarcinoma using FT-IR microspectroscopy and cluster analysis. , 2004, Biochimica et biophysica acta.

[24]  Aidong Zhang,et al.  Cluster analysis for gene expression data: a survey , 2004, IEEE Transactions on Knowledge and Data Engineering.

[25]  Anil K. Jain,et al.  Data clustering: a review , 1999, CSUR.

[26]  L J Yeoman,et al.  Screening for breast cancer , 1976, British medical journal.

[27]  Y. Fukuyama,et al.  A new method of choosing the number of clusters for the fuzzy c-mean method , 1989 .

[28]  Jonathan M. Garibaldi,et al.  The Application of a Simulated Annealing Fuzzy Clustering Algorithm for Cancer Diagnosis , 2004 .

[29]  Greg Hamerly,et al.  Alternatives to the k-means algorithm that find better clusterings , 2002, CIKM '02.

[30]  Patrick M Kelly An Algorithm for Merging Hyperellipsoidal Clusters , 1994 .

[31]  M. F. Fuller,et al.  Practical Nonparametric Statistics; Nonparametric Statistical Inference , 1973 .

[32]  J. H. Ward Hierarchical Grouping to Optimize an Objective Function , 1963 .

[33]  Donald W. Bouldin,et al.  A Cluster Separation Measure , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[34]  Gerardo Beni,et al.  A Validity Measure for Fuzzy Clustering , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[35]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[36]  A. Salman,et al.  FTIR spectroscopic method for detection of cells infected with herpes viruses. , 2002, Biopolymers.

[37]  Enrique H. Ruspini,et al.  A New Approach to Clustering , 1969, Inf. Control..

[38]  Boudewijn P. F. Lelieveldt,et al.  A new cluster validity index for the fuzzy c-mean , 1998, Pattern Recognit. Lett..

[39]  S. M. Goldstein,et al.  Distinct infrared spectroscopic patterns of human basal cell carcinoma of the skin. , 1993, Cancer research.

[40]  Muammer Ozer,et al.  Fuzzy c-means clustering and Internet portals: A case study , 2005, Eur. J. Oper. Res..

[41]  Rainer Fuchs,et al.  Analysis of temporal gene expression profiles: clustering by simulated annealing and determining the optimal number of clusters , 2001, Bioinform..

[42]  Andrea Polle,et al.  Fourier transform infrared microscopy and imaging: detection of fungi in wood. , 2005, Fungal genetics and biology : FG & B.

[43]  I. Jolliffe Principal Component Analysis , 2002 .

[44]  A H Hielscher,et al.  Evidence of intrinsic differences in the light scattering properties of tumorigenic and nontumorigenic cells , 1998, Cancer.

[45]  Jonathan M. Garibaldi,et al.  A COMPARISON OF FUZZY AND NON-FUZZY CLUSTERING TECHNIQUES IN CANCER DIAGNOSIS , 2005 .

[46]  O. Yoo,et al.  Taxonomic discrimination of flowering plants by multivariate analysis of Fourier transform infrared spectroscopy data , 2004, Plant Cell Reports.

[47]  Chang Sup Sung,et al.  A tabu-search-based heuristic for clustering , 2000, Pattern Recognit..

[48]  Donald E. Brown,et al.  A practical application of simulated annealing to clustering , 1990, Pattern Recognit..

[49]  James C. Bezdek,et al.  On cluster validity for the fuzzy c-means model , 1995, IEEE Trans. Fuzzy Syst..

[50]  R. Consolini,et al.  Analytical infrared spectral differences between human normal and leukaemic cells (CLL)--I. , 1984, Leukemia research.

[51]  D. R. Causton,et al.  A Biologist's Advanced Mathematics , 1977 .

[52]  A B Thompson,et al.  Diagnostic imaging of breast cancer using fluorescence-enhanced optical tomography: phantom studies. , 2004, Journal of biomedical optics.

[53]  D. Easton,et al.  Risk of lymphoedema following the treatment of breast cancer , 1986, The British journal of surgery.

[54]  Shengrui Wang,et al.  FCM-Based Model Selection Algorithms for Determining the Number of Clusters , 2004, Pattern Recognit..

[55]  Minho Kim,et al.  New indices for cluster validity assessment , 2005, Pattern Recognit. Lett..

[56]  Vipin Kumar,et al.  Chameleon: Hierarchical Clustering Using Dynamic Modeling , 1999, Computer.

[57]  Michael G. Sowa,et al.  Near infrared spectroscopic reflectance imaging: supervised vs. unsupervised analysis using an art conservation application , 1999 .

[58]  Brian Everitt,et al.  Cluster analysis , 1974 .

[59]  Jonathan M. Garibaldi,et al.  Application of the Fuzzy C-Means Clustering Method on the Analysis of non Pre- processed FTIR Data for Cancer Diagnosis , 2003 .

[60]  Khaled S. Al-Sultan,et al.  A Tabu search approach to the clustering problem , 1995, Pattern Recognit..

[61]  K. Huang,et al.  A synergistic automatic clustering technique (SYNERACT) for multispectral image Analysis , 2002 .

[62]  Ujjwal Maulik,et al.  Genetic clustering for automatic evolution of clusters and application to image classification , 2002, Pattern Recognit..

[63]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[64]  Ron Kohavi,et al.  Feature Selection for Knowledge Discovery and Data Mining , 1998 .

[65]  A. R. Gonçalves,et al.  Evaluation of Panus tigrinus in the delignification of sugarcane bagasse by FTIR-PCA and pulp properties , 1998 .

[66]  F. Mauro,et al.  A New Approach to the Study of Human Solid Tumor Cells by Means of FT-IR Microspectroscopy , 1990 .

[67]  Lutgarde M. C. Buydens,et al.  Clustering multispectral images: a tutorial , 2005 .

[68]  Richard C. Dubes,et al.  Experiments in projection and clustering by simulated annealing , 1989, Pattern Recognit..

[69]  Henry H. Mantsch,et al.  Applications of infrared spectroscopy to biology and medicine , 1990 .

[70]  James R. Mansfield,et al.  Analysis and interpretation of infrared microscopic maps: Visualization and classification of skin components by digital staining and multivariate analysis , 1999 .

[71]  C. A. Murthy,et al.  A new split-and-merge clustering technique , 1992, Pattern Recognit. Lett..

[72]  Greg Hamerly,et al.  Learning the k in k-means , 2003, NIPS.

[73]  Julius T. Tou,et al.  Dynoc—A dynamic optimal cluster-seeking technique , 1979, International Journal of Computer & Information Sciences.

[74]  S. Bandyopadhyay,et al.  Nonparametric genetic clustering: comparison of validity indices , 2001, IEEE Trans. Syst. Man Cybern. Syst..

[75]  Erik K. Antonsson,et al.  Dynamic partitional clustering using evolution strategies , 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

[76]  Vijay V. Raghavan,et al.  3M algorithm: finding an optimal fuzzy cluster scheme for proximity data , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

[77]  Jonathan M. Garibaldi,et al.  Simulated Annealing Fuzzy Clustering in Cancer Diagnosis , 2005, Informatica.

[78]  M. Diem,et al.  Infrared spectroscopy of human cells and tissue. VIII. Strategies for analysis of infrared tissue mapping data and applications to liver tissue. , 2000, Biopolymers.

[79]  Jonathan M. Garibaldi,et al.  A novel fuzzy clustering algorithm for the analysis of axillary lymph node tissue sections , 2007, Applied Intelligence.

[80]  Peter Lasch,et al.  Colorectal adenocarcinoma diagnosis by FT-IR microspectrometry , 2000, BiOS.

[81]  Ujjwal Maulik,et al.  Genetic algorithm-based clustering technique , 2000, Pattern Recognit..

[82]  Miin-Shen Yang,et al.  A cluster validity index for fuzzy clustering , 2005, Pattern Recognit. Lett..

[83]  Bidyut Baran Chaudhuri,et al.  A novel genetic algorithm for automatic clustering , 2004, Pattern Recognit. Lett..

[84]  Hannu Koivisto,et al.  Profiling Network Applications with Fuzzy C-Means Clustering and Self-Organizing Map , 2002, FSKD.

[85]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[86]  Lin-Yu Tseng,et al.  A genetic approach to the automatic clustering problem , 2001, Pattern Recognit..

[87]  D. Kell,et al.  Differentiation of Micromonospora Isolates from a Coastal Sediment in Wales on the Basis of Fourier Transform Infrared Spectroscopy, 16S rRNA Sequence Analysis, and the Amplified Fragment Length Polymorphism Technique , 2004, Applied and Environmental Microbiology.

[88]  Basil Rigas,et al.  Infrared Spectra of Microtome Sections of Human Colon Tissues , 1990 .

[89]  H. Mantsch,et al.  Determination of protein secondary structure by Fourier transform infrared spectroscopy: a critical assessment. , 1993, Biochemistry.

[90]  Hans-Peter Kriegel,et al.  A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.

[91]  Julius T. Tou,et al.  Pattern Recognition Principles , 1974 .

[92]  Mahamed G. H. Omran Particle swarm optimization methods for pattern recognition and image processing , 2006 .

[93]  Tenebræ The 'Times' newspaper , 1895 .

[94]  S. Gulec,et al.  Clinical Utility of Frozen Section in Sentinel Node Biopsy in Breast Cancer , 2001, The American surgeon.

[95]  Shokri Z. Selim,et al.  A global algorithm for the fuzzy clustering problem , 1993, Pattern Recognit..

[96]  B. Rigas,et al.  Human colorectal cancers display abnormal Fourier-transform infrared spectra. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[97]  Jonathan M. Garibaldi,et al.  Fuzzy Clustering in Biochemical Analysis of Cancer Cells , 2005, EUSFLAT Conf..

[98]  H. Mantsch,et al.  Study of chronic lymphocytic leukemia cells by FT-IR spectroscopy and cluster analysis. , 1996, Leukemia research.

[99]  R P Bleichrodt,et al.  Reliability of intraoperative frozen section and imprint cytological investigation of sentinel lymph nodes in breast cancer , 1999, Histopathology.

[100]  J. MacQueen Some methods for classification and analysis of multivariate observations , 1967 .

[101]  A. Giuliano,et al.  Histopathologic validation of the sentinel lymph node hypothesis for breast carcinoma. , 1997, Annals of surgery.

[102]  S. Zachariadou-Veneti A Tribute George Papanicolaou (1883–1962) , 2000 .

[103]  M. Narasimha Murty,et al.  Clustering with evolution strategies , 1994, Pattern Recognit..

[104]  M. Diem,et al.  Fourier transform infrared (FTIR) spectral mapping of the cervical transformation zone, and dysplastic squamous epithelium. , 2004, Gynecologic oncology.

[105]  Claudio Carpineto,et al.  A lattice conceptual clustering system and its application to browsing retrieval , 2004, Machine Learning.

[106]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.

[107]  D B Kell,et al.  Rapid identification of urinary tract infection bacteria using hyperspectral whole-organism fingerprinting and artificial neural networks. , 1998, Microbiology.

[108]  Stephen G Bown,et al.  Elastic scattering spectroscopy for intraoperative determination of sentinel lymph node status in the breast. , 2004, Journal of biomedical optics.

[109]  Lin Zhang,et al.  Classification of Fourier Transform Infrared Microscopic Imaging Data of Human Breast Cells by Cluster Analysis and Artificial Neural Networks , 2003, Applied spectroscopy.

[110]  Victor J. Rayward-Smith,et al.  Modern Heuristic Search Methods , 1996 .

[111]  Siddheswar Ray,et al.  Determination of Number of Clusters in K-Means Clustering and Application in Colour Image Segmentation , 2000 .

[112]  Anil K. Jain,et al.  Large-Scale Parallel Data Clustering , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[113]  Michael B. Wallace,et al.  Observation of periodic fine structure in reflectance from biological tissue: A new technique for measuring nuclear size distribution , 1998 .

[114]  Christian Blum,et al.  Metaheuristics in combinatorial optimization: Overview and conceptual comparison , 2003, CSUR.

[115]  Pavel Berkhin,et al.  A Survey of Clustering Data Mining Techniques , 2006, Grouping Multidimensional Data.