„Clustering Methods“

Suchergebnisse

1.000+ Treffer

• Access the cluster tendency by visual methods for robust speech clustering
  Suneetha Rani, T. ; Krishna Prasad, M. H. M.
• Solving a bi-objective location routing problem by a NSGA-II combined with clustering approach: application in waste collection problem
  Rabbani, Masoud ; Farrokhi-Asl, Hamed ; Asgarian, Bahare
• Data clustering methods for the determination of cerebral autoregulation functionality
  Montgomery, Dean ; Addison, Paul S. ; Borg, Ulf
• Managing distance and covariate information with point-based clustering
  Whigham, Peter A. ; De Graaf, Brandon ; Srivastava, Rashmi ; Glue, Paul
• Clustering of non-communicable diseases risk factors in Bangladeshi adults: An analysis of STEPS survey 2013
  Zaman, M. Mostafa ; Bhuiyan, Mahfuzur Rahman ; Karim, Md. Nazmul ; MoniruzZaman ; Rahman, Md. Mukhlesur ; Akanda, Abdul Waheed ; Fernando, Thushara
• An introduction to wireline log analysis by integration of ascendant hierarchical clustering and k-nearest neighbor methods for permeability prediction using conventional well logs and core data
  Beirami, Reza ; Riahi, Mohammad Ali ; Hosseini, Mohammad
• Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments
  Celton, Magalie ; Malpertuy, Alain ; Lelandais, Gaëlle ; de Brevern, Alexandre G.
• K-modes Clustering
  Chaturvedi, Anil ; Green, Paul E. ; Caroll, J. Douglas
• Initialization strategies for clustering mixed-type data with the k-prototypes algorithm
  Aschenbruck, Rabea ; Szepannek, Gero ; Wilhelm, Adalbert F. X.
• Without pain – clustering categorical data using a Bayesian mixture of finite mixtures of latent class analysis models
  Malsiner-Walli, Gertraud ; Grün, Bettina ; Frühwirth-Schnatter, Sylvia
• Clustering on the Torus
  SenGupta, Ashis ; Roy, Moumita
• Analysis of Global k-Means, an Incremental Heuristic for Minimum Sum-of-Squares Clustering
  Hansen, Pierre ; Ngai, Eric ; Cheung, Bernard K. ; Mladenovic, Nenad
• Materials Selection: Selecting Appropriate Clustering Methods for Materials Science Applications of Machine Learning (Adv. Theory Simul. 12/2019)
  Parker, Amanda J. ; Barnard, Amanda
• Screening for data clustering in multicenter studies: the residual intraclass correlation
  Wynants, Laure ; Timmerman, Dirk ; Bourne, Tom H. ; Van Huffel, Sabine ; Van Calster, Ben
• Assessing potential sources of clustering in individually randomised trials
  Kahan, Brennan C. ; Morris, Tim P.
• Ongoing monitoring of data clustering in multicenter studies
  Guthrie, Lauren B. ; Oken, Emily ; Sterne, Jonathan AC ; Gillman, Matthew W. ; Patel, Rita ; Vilchuck, Konstantin ; Bogdanovich, Natalia ; Kramer, Michael S. ; Martin, Richard M.
• Comparative evaluations of multivariate methods in spatial clustering of precipitation using GPCC V7 gridded data set: application to the Northern Territory of Australia
  Azmi, Mohammad ; Sarmadi, Fahimeh
• Characterization of a Bayesian genetic clustering algorithm based on a Dirichlet process prior and comparison among Bayesian clustering methods
  Onogi, Akio ; Nurimoto, Masanobu ; Morita, Mitsuo
• Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes
  Ulitzsch, Esther ; He, Qiwei ; Ulitzsch, Vincent ; Molter, Hendrik ; Nichterlein, André ; Niedermeier, Rolf ; Pohl, Steffi
• Random effects clustering in multilevel modeling: choosing a proper partition
  Conversano, Claudio ; Cannas, Massimo ; Mola, Francesco ; Sironi, Emiliano