A global optimisation approach to classification in medical diagnosis and prognosis
暂无分享,去创建一个
Andrew Stranieri | Adil M. Bagirov | John Yearwood | Alexander M. Rubinov | A. Stranieri | A. Bagirov | A. Rubinov | J. Yearwood
[1] Michael L. Overton,et al. A quadratically convergent method for minimizing a sum of euclidean norms , 1983, Math. Program..
[2] B. M. Glover,et al. Cutting angle methods in global optimization , 1999 .
[3] Vladimir Vapnik,et al. The Nature of Statistical Learning , 1995 .
[4] Douglas M. Hawkins,et al. Topics in Applied Multivariate Analysis: CLUSTER ANALYSIS , 1982 .
[5] Anil K. Jain,et al. Algorithms for Clustering Data , 1988 .
[6] M. Rao. Cluster Analysis and Mathematical Programming , 1971 .
[7] Hongxing He,et al. Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification Problem , 1999, PAKDD.
[8] Khaled S. Al-Sultan,et al. A Tabu search approach to the clustering problem , 1995, Pattern Recognit..
[9] W. N. Street,et al. Image analysis and machine learning applied to breast cancer diagnosis and prognosis. , 1995, Analytical and quantitative cytology and histology.
[10] M. R. Mickey,et al. Estimation of Error Rates in Discriminant Analysis , 1968 .
[11] C. S. Wallace,et al. An Information Measure for Classification , 1968, Comput. J..
[12] Keinosuke Fukunaga,et al. Statistical Pattern Recognition , 1993, Handbook of Pattern Recognition and Computer Vision.
[13] Olvi L. Mangasarian,et al. Nuclear feature extraction for breast tumor diagnosis , 1993, Electronic Imaging.
[14] W. N. Street,et al. Computer-derived nuclear features distinguish malignant from benign breast cytology. , 1995, Human pathology.
[15] Paul S. Bradley,et al. Clustering via Concave Minimization , 1996, NIPS.
[16] Alexander Rubinov,et al. Lipschitz programming via increasing convex-along-rays functions * , 1999 .
[17] M F Janowitz. Cluster Analysis Algorithms for Image Segmentation. , 1981 .
[18] Maryanne Domm. Mathematical programming in data mining: Models for binary classification with application to collusion detection in online gambling , 2003 .
[19] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[20] W. N. Street,et al. Computerized breast cancer diagnosis and prognosis from fine-needle aspirates. , 1995, Archives of surgery.
[21] O. Mangasarian,et al. Robust linear programming discrimination of two linearly inseparable sets , 1992 .
[22] W. N. Street,et al. Machine learning techniques to diagnose breast cancer from image-processed nuclear features of fine needle aspirates. , 1994, Cancer letters.
[23] Shokri Z. Selim,et al. K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Adil M. Bagirov,et al. Global Minimization of Increasing Positively Homogeneous Functions over the Unit Simplex , 2000, Ann. Oper. Res..
[25] Adil M. Bagirov. Minimization Methods for One Class of Nonsmooth Functions and Calculation of Semi-Equilibrium Prices , 1999 .
[26] William Nick Street,et al. Breast Cancer Diagnosis and Prognosis Via Linear Programming , 1995, Oper. Res..
[27] J. Ross Quinlan,et al. Improved Use of Continuous Attributes in C4.5 , 1996, J. Artif. Intell. Res..
[28] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[29] Adil M. Bagirov,et al. A method for minimizing convex functions based on continuous approximations to the subdifferential , 1998 .
[30] A. Rubinov. Abstract Convexity and Global Optimization , 2000 .