Implementation of the objective clustering inductive technology based on DBSCAN clustering algorithm
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[1] T. Caliński,et al. A dendrite method for cluster analysis , 1974 .
[2] Charles T. Zahn,et al. Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters , 1971, IEEE Transactions on Computers.
[3] Lyudmila V. Sarycheva. Objective Cluster Analysis of Data Based on GMDH , 2008 .
[4] Volodymyr Lytvynenko,et al. Estimation of the inductive model of objects clustering stability based on the k-means algorithm for different levels of data noise , 2017 .
[5] V. V. Osypenko,et al. The methodology of inductive systems analysis as a tool of engineering researches analytical planning , 2011 .
[6] P. Fränti,et al. Sum-of-Squares Based Cluster Validity Index and Significance Analysis , 2009, ICANNGA.
[7] David E. Misek,et al. Gene-expression profiles predict survival of patients with lung adenocarcinoma , 2002, Nature Medicine.
[8] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[9] Aristides Gionis,et al. Clustering Aggregation , 2005, ICDE.
[10] Sergii Babichev,et al. Inductive model of data clustering based on the agglomerative hierarchical algorithm , 2016, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP).
[11] Hema R. Madala,et al. Inductive Learning Algorithms for Complex Systems Modeling , 2017 .
[12] Vladimir S. Stepashko. Method of Critical Variances as Analytical Tool of Theory of Inductive Modeling , 2008 .
[13] Volodymyr Lytvynenko,et al. Computational analysis of microarray gene expression profiles of lung cancer , 2016 .