Metaheuristics for clustering in KDD
暂无分享,去创建一个
[1] Christoph F. Eick,et al. Using Supervised Clustering to Enhance Classifiers , 2005, ISMIS.
[2] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.
[3] Andrew McCallum,et al. Semi-Supervised Clustering with User Feedback , 2003 .
[4] Bidyut Baran Chaudhuri,et al. A novel genetic algorithm for automatic clustering , 2004, Pattern Recognit. Lett..
[5] Lawrence W. Lan,et al. Genetic clustering algorithms , 2001, Eur. J. Oper. Res..
[6] Donald R. Jones,et al. Solving Partitioning Problems with Genetic Algorithms , 1991, International Conference on Genetic Algorithms.
[7] Alex A. Freitas,et al. A Genetic Algorithm for Generalized Rule Induction , 1999 .
[8] Jianzhuang Liu,et al. A genetics-based approach to fuzzy clustering , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..
[9] Arantza Casillas,et al. Sampling and Feature Selection in a Genetic Algorithm for Document Clustering , 2004, CICLing.
[10] Khaled S. Al-Sultan,et al. A Tabu search approach to the clustering problem , 1995, Pattern Recognit..
[11] K. Rose. Deterministic annealing for clustering, compression, classification, regression, and related optimization problems , 1998, Proc. IEEE.
[12] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[13] V. Weerackody,et al. Design of vector quantizers using simulated annealing , 1988 .
[14] Shokri Z. Selim,et al. A simulated annealing algorithm for the clustering problem , 1991, Pattern Recognit..
[15] Lin-Yu Tseng,et al. A genetic approach to the automatic clustering problem , 2001, Pattern Recognit..
[16] J. Vaisey,et al. Simulated annealing and codebook design , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.
[17] Joachim M. Buhmann,et al. Semi-supervised Image Segmentation by Parametric Distributional Clustering , 2003, EMMCVPR.
[18] Christoph F. Eick,et al. Supervised clustering - algorithms and benefits , 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.
[19] Pierre Hansen,et al. An Interior Point Algorithm for Minimum Sum-of-Squares Clustering , 1997, SIAM J. Sci. Comput..
[20] Sugato Basu and Mikhail Bilenko and Raymond J. Mooney. Semisupervised Clustering for Intelligent User Management , 2004 .
[21] Richard C. Dubes,et al. Experiments in projection and clustering by simulated annealing , 1989, Pattern Recognit..
[22] Vasudha Bhatnagar,et al. K-means Clustering Algorithm for Categorical Attributes , 1999, DaWaK.
[23] Andries Petrus Engelbrecht,et al. Data clustering using particle swarm optimization , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[24] Kenneth A. De Jong,et al. Using genetic algorithms for concept learning , 1993, Machine Learning.
[25] James C. Bezdek,et al. Optimization of fuzzy clustering criteria using genetic algorithms , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.
[26] Andrew Skabar. A GA-based Neural Network Weight Optimization Technique for Semi-Supervised Classifier Learning , 2003, HIS.
[27] T. Caliński,et al. A dendrite method for cluster analysis , 1974 .
[28] Lawrence O. Hall,et al. Fuzzy ant clustering by centroid positioning , 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).
[29] M. Narasimha Murty,et al. Genetic K-means algorithm , 1999, IEEE Trans. Syst. Man Cybern. Part B.
[30] Richard A. Johnson,et al. Applied Multivariate Statistical Analysis , 1983 .
[31] Jonathan M. Garibaldi,et al. The Application of a Simulated Annealing Fuzzy Clustering Algorithm for Cancer Diagnosis , 2004 .
[32] Richard J. Enbody,et al. Further Research on Feature Selection and Classification Using Genetic Algorithms , 1993, ICGA.
[33] Sankar K. Pal,et al. Data mining in soft computing framework: a survey , 2002, IEEE Trans. Neural Networks.
[34] C. A. Murthy,et al. In search of optimal clusters using genetic algorithms , 1996, Pattern Recognit. Lett..
[35] Victor J. Rayward-Smith,et al. A New Metric for Categorical Data , 2003 .
[36] El-Ghazali Talbi,et al. Clustering Nominal and Numerical Data: A New Distance Concept for a Hybrid Genetic Algorithm , 2004, EvoCOP.
[37] Ujjwal Maulik,et al. Genetic algorithm-based clustering technique , 2000, Pattern Recognit..
[38] Lothar Litz,et al. Generating Linguistic Fuzzy Rules for Pattern Classification with Genetic Algorithms , 1999, PKDD.
[39] Hong Liu,et al. Evolutionary semi-supervised fuzzy clustering , 2003, Pattern Recognit. Lett..
[40] David A. Bell,et al. The use of simulated annealing for clustering data in databases , 1990, Inf. Syst..
[41] Jeng-Shyang Pan,et al. A Tabu Seach Based Maximum Descent Algorithm for VQ Codebook Design , 2001, J. Inf. Sci. Eng..
[42] M. Narasimha Murty,et al. A near-optimal initial seed value selection in K-means means algorithm using a genetic algorithm , 1993, Pattern Recognit. Lett..
[43] Petra Perner,et al. Data Mining - Concepts and Techniques , 2002, Künstliche Intell..
[44] Olli Nevalainen,et al. Tabu search algorithm for codebook generation in vector quantization , 1998, Pattern Recognit..
[45] Douglas H. Fisher,et al. Data mining tasks and methods: Clustering: conceptual clustering , 2002 .
[46] Joshua Zhexue Huang,et al. Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values , 1998, Data Mining and Knowledge Discovery.
[47] Ujjwal Maulik,et al. An evolutionary technique based on K-Means algorithm for optimal clustering in RN , 2002, Inf. Sci..
[48] Fernando E. B. Otero,et al. Genetic Programming for Attribute Construction in Data Mining , 2002, EuroGP.
[49] Joshua D. Knowles,et al. Exploiting the Trade-off - The Benefits of Multiple Objectives in Data Clustering , 2005, EMO.
[50] Raymond J. Mooney,et al. Integrating constraints and metric learning in semi-supervised clustering , 2004, ICML.
[51] Agostinho C. Rosa,et al. Independent and simultaneous evolution of fuzzy sleep classifiers by genetic algorithms , 1999 .
[52] Gp Babu,et al. Simulated annealing for selecting optimal initial seeds in the K-means algorithm , 1994 .
[53] Joaquín A. Pacheco,et al. Design of hybrids for the minimum sum-of-squares clustering problem , 2003, Comput. Stat. Data Anal..
[54] Jiawei Han,et al. CLARANS: A Method for Clustering Objects for Spatial Data Mining , 2002, IEEE Trans. Knowl. Data Eng..
[55] Anthony K. H. Tung,et al. Spatial clustering methods in data mining : A survey , 2001 .
[56] Allen Gersho,et al. Globally optimal vector quantizer design by stochastic relaxation , 1992, IEEE Trans. Signal Process..
[57] David B. Fogel,et al. Evolving fuzzy clusters , 1993, IEEE International Conference on Neural Networks.
[58] Jeng-Shyang Pan,et al. Constrained Ant Colony Optimization for Data Clustering , 2004, PRICAI.
[59] Alex Alves Freitas,et al. Data mining with an ant colony optimization algorithm , 2002, IEEE Trans. Evol. Comput..
[60] M. Delgado,et al. A tabu search approach to the fuzzy clustering problem , 1997, Proceedings of 6th International Fuzzy Systems Conference.
[61] James C. Bezdek,et al. Clustering with a genetically optimized approach , 1999, IEEE Trans. Evol. Comput..
[62] Joshua D. Knowles,et al. Evolutionary Multiobjective Clustering , 2004, PPSN.
[63] Emanuel Falkenauer,et al. Genetic Algorithms and Grouping Problems , 1998 .
[64] Krzysztof Krawiec,et al. Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks , 2002, Genetic Programming and Evolvable Machines.
[65] Victor J. Rayward-Smith,et al. The Use of a Supervised k-Means Algorithm on Real-Valued Data with Applications in Health , 2003, IEA/AIE.
[66] Jean-Louis Deneubourg,et al. The dynamics of collective sorting robot-like ants and ant-like robots , 1991 .
[67] Marco Dorigo,et al. On the Performance of Ant-based Clustering , 2003, HIS.
[68] Vijay V. Raghavan,et al. Genetic Algorithm for Clustering with an Ordered Representation , 1991, ICGA.
[69] V. J. Rayward-Smith,et al. Data mining rules using multi-objective evolutionary algorithms , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[70] Baldo Faieta,et al. Diversity and adaptation in populations of clustering ants , 1994 .
[71] Ali S. Hadi,et al. Finding Groups in Data: An Introduction to Chster Analysis , 1991 .
[72] Manish Sarkar,et al. Evolutionary Programming-Based Fuzzy Clustering , 1996, Evolutionary Programming.
[73] Manish Sarkar,et al. A clustering algorithm using an evolutionary programming-based approach , 1997, Pattern Recognit. Lett..
[74] Fernando Moura-Pires,et al. A Genetic Approach to Fuzzy Clustering with a Validity Measure Fitness Function , 1997, IDA.
[75] Dana Ron,et al. A New Conceptual Clustering Framework , 2004, Machine Learning.
[76] Kien A. Hua,et al. A decomposition-based simulated annealing technique for data clustering , 1994, PODS '94.