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An efficientk‐means‐type algorithm for clustering datasets with incomplete records

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Statistical Analysis with Missing Data
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Analysis of functional MRI time‐series
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Test‐retest reliability estimation of functional MRI data
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Reliability estimation of grouped functional imaging data using penalized maximum likelihood
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The Statistical Analysis of Functional MRI Data
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Parallel K-Means Clustering Based on MapReduce
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Clustering with Missing Values: No Imputation Required
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Catalog of Cosmic Gamma-Ray Bursts from the KONUS Experiment Data
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Comparing partitions
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An Examination of Procedures for Determining the Number of Clusters in a Data Set
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The Practice of Cluster Analysis
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The validation of four ultrametric clustering algorithms
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Rough subspace neuro-fuzzy system
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A re-defined and generalized percent-overlap-of-activation measure for studies of fMRI reproducibility and its use in identifying outlier activation maps
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Cluster-extent based thresholding in fMRI analyses: Pitfalls and recommendations
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Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.
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k-POD: A Method fork-Means Clustering of Missing Data
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Statistical Analysis With Missing Data
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Alternative Transformations to Handle Extreme Values of the Dependent Variable
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Bootstrapping for Significance of Compact Clusters in Multidimensional Datasets
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The Fourth BATSE Gamma‐Ray Burst Catalog (Revised)
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THE ULTRA-LONG GAMMA-RAY BURST 111209A: THE COLLAPSE OF A BLUE SUPERGIANT?
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Short versus long gamma-ray bursts: a comprehensive study of energetics and prompt gamma-ray correlations
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Gaussian-mixture-model-based cluster analysis finds five kinds of gamma-ray bursts in the BATSE catalogue
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The puzzling interpretation of NIR indices: The case of NaI2.21
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Multivariate t-Mixtures-Model-based Cluster Analysis of BATSE Catalog Establishes Importance of All Observed Parameters, Confirms Five Distinct Ellipsoidal Sub-populations of Gamma Ray Bursts
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Fuzzy c-means clustering of incomplete data
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The Effectiveness of Lloyd-Type Methods for the k-Means Problem
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Clustering approaches for data with missing values: Comparison and evaluation
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Fuzzy cluster analysis with missing values
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Initializing Partition-Optimization Algorithms
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Least squares quantization in PCM
inferredcites →https://doi.org/10.1109/tkde.2016.2608821openalex-snapshot
Visual Assessment of Clustering Tendency for Incomplete Data
inferredcites →https://doi.org/10.1109/tsmc.1979.4310090openalex-snapshot
Pattern Recognition with Partly Missing Data
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Clustering in the Presence of Scatter
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A QUANTITATIVE APPROACH TO A PROBLEM IN CLASSIFICATION
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1126/science.1948051openalex-snapshot
Functional Mapping of the Human Visual Cortex by Magnetic Resonance Imaging
inferredcites →https://doi.org/10.1126/science.290.5500.2323openalex-snapshot
Nonlinear Dimensionality Reduction by Locally Linear Embedding
inferredcites →https://doi.org/10.1137/1.9781611974409openalex-snapshot
MM Optimization Algorithms
inferredcites →https://doi.org/10.1145/1014052.1014062openalex-snapshot
A probabilistic framework for semi-supervised clustering
inferredcites →https://doi.org/10.1145/2395116.2395117openalex-snapshot
The effectiveness of lloyd-type methods for the k-means problem
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Proceedings of the 1999 ACM SIGMOD international conference on Management of data
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A Tutorial on MM Algorithms
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Clustering Massive Datasets With Application in Software Metrics and Tomography
inferredcites →https://doi.org/10.1198/016214502760047131openalex-snapshot
Model-Based Clustering, Discriminant Analysis, and Density Estimation
inferredcites →https://doi.org/10.1198/016214503000000666openalex-snapshot
Finding the Number of Clusters in a Dataset
inferredcites →https://doi.org/10.1198/jcgs.2009.08054openalex-snapshot
Simulating Data to Study Performance of Finite Mixture Modeling and Clustering Algorithms
inferredcites →https://doi.org/10.1214/09-ss053openalex-snapshot
Finite mixture models and model-based clustering
inferredcites →https://doi.org/10.18637/jss.v029.b03openalex-snapshot
The Statistical Analysis of Functional MRI Data
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mice: Multivariate Imputation by Chained Equations inR
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Amelia II: A Program for Missing Data
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MixSim : An R Package for Simulating Data to Study Performance of Clustering Algorithms
inferredcites →https://doi.org/10.21236/ad0709067openalex-snapshot
SPEECH ANALYSIS BY CLUSTERING, OR THE HYPERPHONEME METHOD
inferredcites →https://doi.org/10.2307/2286880openalex-snapshot
Clustering Algorithms.
inferredcites →https://doi.org/10.2307/2289883openalex-snapshot
Statistical Analysis With Missing Data
inferredcites →https://doi.org/10.2307/2346830openalex-snapshot
Algorithm AS 136: A K-Means Clustering Algorithm
inferredcites →https://doi.org/10.2307/2531893openalex-snapshot
A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares Clustering
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Clustering with Missing Values
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kpodclustr: Method for Clustering Partially Observed Data
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R: A Language and Environment for Statistical Computing
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k-means++: the advantages of careful seeding

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/sam.11401openalex-snapshot
Erratum
inferred← citeshttps://doi.org/10.1002/sam.11416openalex-snapshot
TiK‐means: Transformation‐infusedK‐means clustering for skewed groups
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Computational Improvements to the Kernel k$$ k $$‐Means Clustering Algorithm
inferred← citeshttps://doi.org/10.1002/sam.70054openalex-snapshot
Robust Model‐Based Semi‐Supervised Clustering of Incomplete Records
inferred← citeshttps://doi.org/10.1002/sta4.416openalex-snapshot
Fast model‐based clustering of partial records
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A Chi-Square Dissimilarity Measure for Clustering Categorical Datasets
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K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data
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Design and Evaluation of Online Educational Content: AI-Informed Guidelines Based on Machine Learning Analysis of Learners’ Interactions Traces
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Cluster Analysis of Mixed and Missing Chronic Kidney Disease Data in KwaZulu-Natal Province, South Africa
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Graphical Tools for Visualization of Missing Data in Large Longitudinal Phenomena
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A Dynamic Swarm Firefly Algorithm Based on Chaos Theory and Max-Min Distance Algorithm
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Kernel-estimated Nonparametric Overlap-Based Syncytial Clustering
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