Search Results - "Topchy, A."

Clustering ensembles: models of consensus and weak partitions by Topchy, A., Jain, A.K., Punch, W.

“…Clustering ensembles have emerged as a powerful method for improving both the robustness as well as the stability of unsupervised classification solutions…”
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Adaptive clustering ensembles by Topchy, A., Minaei-Bidgoli, B., Jain, A.K., Punch, W.F.

“…Clustering ensembles combine multiple partitions of the given data into a single clustering solution of better quality. Inspired by the success of supervised…”
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Landscape of clustering algorithms by Jain, A.K., Topchy, A., Law, M.H.C., Buhmann, J.M.

“…Numerous clustering algorithms, their taxonomies and evaluation studies are available in the literature. Despite the diversity of different clustering…”
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Microorganisms of Microbial Mats from an Alkaline Hot Spring of Baikal Rift Zone as Bioagents in a Biofuel Cell by Stom, Devard I., Topchy, Ivan A., Zhdanova, Galina O., Barkhutova, Darima D., Zaitseva, Svetlana V., Kupchinsky, Aleksandr B., Ponamoreva, Olga N., Alferov, Sergej V., Tolstoy, Mihail Yu, Chesnokova, Aleksandra N., Bulaev, Aleksandr G.

“…The microbial diversity, transformation potential and ability of microorganisms of the microbial mat consortium of the Kucheger thermal spring (Baikal Rift…”
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Comparisons of Likelihood and Machine Learning Methods of Individual Classification by Guinand, B., Topchy, A., Page, K. S., Burnham-Curtis, M. K., Punch, W. F., Scribner, K. T.

“…Classification methods used in machine learning (e.g., artificial neural networks, decision trees, and k-nearest neighbor clustering) are rarely used with…”
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Sampling Issues Affecting Accuracy of Likelihood-based Classification Using Genetical Data by Guinand, B, Scribner, K T, Topchy, A, Page, K S, Punch, W, Burnham-Curtis, M K

“…We demonstrate the effectiveness of a genetic algorithm for discovering multi-locus combinations that provide accurate individual assignment decisions and…”
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Acidophilic chemolithotrophic microorganisms: prospects for use in biohydrometallurgy and microbial fuel cells by Kalashnikova, O. B., Kashevskii, A. V., Vardanyan, N. S., Erdenechimeg, D., Zhdanova, G. O., Topchy, I. A., Ponamoreva, O. N., Vyatchina, O. F., Stom, D. I.

“…Acidophilic chemolithotrophic microorganisms are used in biohydrometallurgy for the extraction of metals from sulphide ores. Some types of microorganisms…”
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Combining multiple weak clusterings by Topchy, A., Jain, A.K., Punch, W.

“…A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be…”
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Ensembles of partitions via data resampling by Minaei-Bidgoli, B., Topchy, A., Punch, W.F.

“…The combination of multiple clusterings is a difficult problem in the practice of distributed data mining. Both the cluster generation mechanism and the…”
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Neural network training by means of cooperative evolutionary search by Topchy, A.P, Lebedko, O.A

“…A hybrid learning algorithm designed for feedforward neural networks is proposed. Presented procedure combines the advantages of both global evolutionary…”
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Accuracy-driven loci selection and assignment of individuals by TOPCHY, ALEXANDER, SCRIBNER, KIM, PUNCH, WILLIAM

“…We present two programs: gafs for optimal selection of loci for use in individual assignment tests, and mlc, a program for individual classification using…”
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Analysis of consensus partition in cluster ensemble by Topchy, A.P., Law, M.H.C., Jain, A.K., Fred, A.L.

“…In combination of multiple partitions, one is usually interested in deriving a consensus solution with a quality better than that of given partitions. Several…”
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