What is he best known for?
The fields of study he is best known for:
- Statistics
- Algebra
- Artificial intelligence
Cluster analysis, Theoretical computer science, Hierarchical clustering, Combinatorial data analysis and Brown clustering are his primary areas of study.
His Cluster analysis research includes elements of Categorical variable and Free recall.
His biological study deals with issues like Graph theory, which deal with fields such as Class, Data set, Structure and Matrix.
His Hierarchical clustering research is multidisciplinary, incorporating elements of Discrete mathematics, Hierarchical clustering of networks, Algorithm and Single-linkage clustering.
His research integrates issues of Complete-linkage clustering and Combinatorics in his study of Single-linkage clustering.
His biological study spans a wide range of topics, including Multidimensional scaling, Inference and Heuristic.
His most cited work include:
- Quadratic assignment as a general data analysis strategy. (701 citations)
- Heritability of nociception I: responses of 11 inbred mouse strains on 12 measures of nociception. (560 citations)
- Clustering And Classification (413 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Statistics, Cluster analysis, Hierarchical clustering, Matrix and Combinatorics.
His Statistics study combines topics from a wide range of disciplines, such as Measure and Association.
His study with Cluster analysis involves better knowledge in Artificial intelligence.
His Hierarchical clustering research also works with subjects such as
- Single-linkage clustering together with Hierarchical clustering of networks,
- Theoretical computer science that connect with fields like Graph theory.
In his study, which falls under the umbrella issue of Matrix, Algorithm, Heuristic, Inference and Function is strongly linked to Set.
Lawrence Hubert studied Combinatorics and Discrete mathematics that intersect with Order.
He most often published in these fields:
- Statistics (20.48%)
- Cluster analysis (15.66%)
- Hierarchical clustering (15.06%)
What were the highlights of his more recent work (between 2007-2018)?
- Statistics (20.48%)
- Set (13.86%)
- Hierarchical clustering (15.06%)
In recent papers he was focusing on the following fields of study:
Lawrence Hubert mainly focuses on Statistics, Set, Hierarchical clustering, Spatial analysis and Cluster analysis.
His work on Nonparametric statistics and Spatial descriptive statistics is typically connected to Diagnostic test and Violence risk as part of general Statistics study, connecting several disciplines of science.
The various areas that he examines in his Set study include Theoretical computer science, Sample size determination, Rand index, Confidence interval and Range.
Lawrence Hubert incorporates Hierarchical clustering and Holland Codes in his studies.
His work in the fields of Cluster analysis, such as Consensus clustering, Biclustering and Correlation clustering, intersects with other areas such as Reactive programming.
His study on Partition also encompasses disciplines like
- Phenomenon which is related to area like Algorithm,
- Discrete mathematics which is related to area like Ultrametric space.
Between 2007 and 2018, his most popular works were:
- Generalized Procedures for Evaluating Spatial Autocorrelation (146 citations)
- Measuring Association between Spatially Defined Variables: An Alternative Procedure (57 citations)
- The variance of the adjusted Rand index. (42 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Algebra
- Artificial intelligence
Lawrence Hubert mostly deals with Statistics, Association, Spatial analysis, Set and Central moment.
In his papers, Lawrence Hubert integrates diverse fields, such as Statistics and Index.
His Spatial descriptive statistics study, which is part of a larger body of work in Spatial analysis, is frequently linked to Moving-average model, bridging the gap between disciplines.
Lawrence Hubert has researched Set in several fields, including Sample size determination, Rand index, Confidence interval, Range and Normal distribution.
Central moment is integrated with Moment and Statistical physics in his study.
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