Search Results - "Steinley, Douglas"

K-means clustering: A half-century synthesis by Steinley, Douglas

“…This paper synthesizes the results, methodology, and research conducted concerning the K‐means clustering method over the last fifty years. The K‐means method…”
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A Comparison of Latent Class, K-Means, and K-Median Methods for Clustering Dichotomous Data by Brusco, Michael J., Shireman, Emilie, Steinley, Douglas

“…The problem of partitioning a collection of objects based on their measurements on a set of dichotomous variables is a well-established problem in…”
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A comparison of 71 binary similarity coefficients: The effect of base rates by Brusco, Michael, Cradit, J Dennis, Steinley, Douglas

“…There are many psychological applications that require collapsing the information in a two-mode (e.g., respondents-by-attributes) binary matrix into a one-mode…”
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Evaluating Mixture Modeling for Clustering: Recommendations and Cautions by Steinley, Douglas, Brusco, Michael J.

“…This article provides a large-scale investigation into several of the properties of mixture-model clustering techniques (also referred to as latent class…”
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Local Optima in K -Means Clustering: What You Don't Know May Hurt You by Steinley, Douglas

“…The popular K -means clustering method, as implemented in 3 commercial software packages (SPSS, SYSTAT, and SAS), generally provides solutions that are only…”
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Editorial: Journal of Classification Vol. 37-1 by Steinley, Douglas L.

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Editorial: Journal of Classification Vol. 36-3 by Steinley, Douglas L.

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Editorial: Journal of Classification Vol. 36–2 by Steinley, Douglas L.

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Editorial: Journal of Classification Vol 36-1 by Steinley, Douglas L.

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On Ising Models and Algorithms for the Construction of Symptom Networks in Psychopathological Research by Brusco, Michael J., Steinley, Douglas, Hoffman, Michaela, Davis-Stober, Clintin, Wasserman, Stanley

“…During the past 5 to 10 years, an estimation method known as eLasso has been used extensively to produce symptom networks (or, more precisely, symptom…”
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Initializing K-means Batch Clustering: A Critical Evaluation of Several Techniques by Steinley, Douglas, Brusco, Michael J.

“…K-means clustering is arguably the most popular technique for partitioning data. Unfortunately, K-means suffers from the well-known problem of locally optimal…”
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Editorial: Journal of Classification Vol. 37-2 by McNicholas, Paul D., Steinley, Douglas L.

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Drunk Personality: Reports From Drinkers and Knowledgeable Informants by Winograd, Rachel P, Steinley, Douglas L, Sher, Kenneth J

“…Existing literature supports the five-factor model (FFM) of personality (i.e., Extraversion, Agreeableness, Conscientiousness, Emotional Stability, and…”
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A simulated annealing heuristic for maximum correlation core/periphery partitioning of binary networks by Brusco, Michael, Stolze, Hannah J, Hoffman, Michaela, Steinley, Douglas

“…A popular objective criterion for partitioning a set of actors into core and periphery subsets is the maximization of the correlation between an ideal and…”
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Using an Iterative Reallocation Partitioning Algorithm to Verify Test Multidimensionality by Steinley, Douglas L., Brusco, M. J.

“…This article addresses the issue of assigning items to different test dimensions (e.g., determining which dimension an item belongs to) with cluster analysis…”
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The proposed 2/11 symptom algorithm for DSM-5 substance-use disorders is too lenient by Martin, Christopher S, Steinley, Douglas L, Vergés, Alvaro, Sher, Kenneth J

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Selection of Variables in Cluster Analysis: An Empirical Comparison of Eight Procedures by Steinley, Douglas, Brusco, Michael J.

“…Eight different variable selection techniques for model-based and non-model-based clustering are evaluated across a wide range of cluster structures. It is…”
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Emergent clustering methods for empirical OM research by Brusco, Michael J., Steinley, Douglas, Cradit, J. Dennis, Singh, Renu

“…To date, the vast majority of cluster analysis applications in OM research have relied on traditional hierarchical (e.g., Ward's algorithm) and nonhierarchical…”
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Desistance and Severity of Alcohol Use Disorder: A Lifespan-Developmental Investigation by Lee, Matthew R., Boness, Cassandra L., McDowell, Yoanna E., Vergés, Alvaro, Steinley, Douglas L., Sher, Kenneth J.

“…Key to an understanding of alcohol use disorder (AUD) are the drinking-related reductions that begin in young adulthood and continue throughout the adult…”
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The p-Median Model as a Tool for Clustering Psychological Data by Köhn, Hans-Friedrich, Steinley, Douglas, Brusco, Michael J

“…The p -median clustering model represents a combinatorial approach to partition data sets into disjoint, nonhierarchical groups. Object classes are constructed…”
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