Roger K Blashfield
Biographic Data
| ID | 334589 |
|---|---|
| NAME | Roger K Blashfield |
| GIVEN NAMES | Roger K |
| FAMILY NAME | Blashfield |
| SIGNATURE | BLASHFIELD R K |
| AFFILIATIONS | University of Florida |
| ORCID | 0000-0001-8558-9640 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 37 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1975 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 3 |
The myth of Hempel and the DSM-III
The Methods and Problems of Cluster Analysis
Cluster Analysis
A Comparison of Cluster Analysis Techniques Withing a Sequential Validation Framework
This study involved the comparison of 23 different methods of cluster analysis in a four-stage sequential validation design. These stages included derivation, replication, external validation, and cross-validation. Data were obtained from 750 alcohol abusers on a number of socio-behavioral variables. Results demonstrated that the solution given by Ward's method of cluster analysis was particularly powerful in comparison to solutions yielded by ot…
The Growth Of Cluster Analysis
The growth of literature about cluster analysis is studied through an intensive analysis of the work by three men: Johnson, Tryon, and Ward. First, a history of the ideas of these men is discussed. Each of the three represented a different ideological perspective. Next, citation analysis is used to study the impact of the major publication of each man. The citation analysis suggests that there was virtually no overlap among researchers who cite t…
A Nearest-Centroid Technique For Evaluating The Minimum-Variance Clustering Procedure
It was posited that a good cluster solution has two characteristics: (1) it is stable across multiple random samples; and (2) its clusters accurately correspond to the populations from which the sample of data comes. A technique for evaluating a minimum variance cluster solution (Ward, 1963) was presented which deals with these two characteristics of a solution. In this technique, which follows the cross-validation paradigm, two data sets were dr…
The Literature On Cluster Analysis
There has been an explosion of interest in cluster analysis since 1960. The "explosion" of this literature is documented through: (a) a rapid growth in the number of articles which have been published using this technique; (b) the wide range of sciences interested in clustering; (c) the large and growing number of software programs for performing cluster analysis; (d) the formation of cliques of cluster analysis users; and (e) the resulting fragm…
Cluster Analysis and Archaeological Classification
This paper examines some of the implications of Christenson and Read's [1977] comments on the use of numerical taxonomic concepts in archaeological classification. While many of their comments are accurate, we feel that they have seriously misrepresented the nature of cluster analysis as a grouping technique by their association of cluster analysis with the theoretical and methodological goals of numerical taxonomy. The implications of their argu…
Mixture model tests of cluster analysis
Explorations in the taxonomy of behavior settings
Peer Reviewed
Mixture model tests of cluster analysis
Explorations in the taxonomy of behavior settings
Peer Reviewed
Cluster Analysis and Archaeological Classification
This paper examines some of the implications of Christenson and Read's [1977] comments on the use of numerical taxonomic concepts in archaeological classification. While many of their comments are accurate, we feel that they have seriously misrepresented the nature of cluster analysis as a grouping technique by their association of cluster analysis with the theoretical and methodological goals of numerical taxonomy. The implications of their argu…
Explorations in the taxonomy of behavior settings
Peer Reviewed
Mixture model tests of cluster analysis
The Literature On Cluster Analysis
There has been an explosion of interest in cluster analysis since 1960. The "explosion" of this literature is documented through: (a) a rapid growth in the number of articles which have been published using this technique; (b) the wide range of sciences interested in clustering; (c) the large and growing number of software programs for performing cluster analysis; (d) the formation of cliques of cluster analysis users; and (e) the resulting fragm…
Cluster Analysis and Archaeological Classification
This paper examines some of the implications of Christenson and Read's [1977] comments on the use of numerical taxonomic concepts in archaeological classification. While many of their comments are accurate, we feel that they have seriously misrepresented the nature of cluster analysis as a grouping technique by their association of cluster analysis with the theoretical and methodological goals of numerical taxonomy. The implications of their argu…
The Growth Of Cluster Analysis
The growth of literature about cluster analysis is studied through an intensive analysis of the work by three men: Johnson, Tryon, and Ward. First, a history of the ideas of these men is discussed. Each of the three represented a different ideological perspective. Next, citation analysis is used to study the impact of the major publication of each man. The citation analysis suggests that there was virtually no overlap among researchers who cite t…
A Nearest-Centroid Technique For Evaluating The Minimum-Variance Clustering Procedure
It was posited that a good cluster solution has two characteristics: (1) it is stable across multiple random samples; and (2) its clusters accurately correspond to the populations from which the sample of data comes. A technique for evaluating a minimum variance cluster solution (Ward, 1963) was presented which deals with these two characteristics of a solution. In this technique, which follows the cross-validation paradigm, two data sets were dr…
A Comparison of Cluster Analysis Techniques Withing a Sequential Validation Framework
This study involved the comparison of 23 different methods of cluster analysis in a four-stage sequential validation design. These stages included derivation, replication, external validation, and cross-validation. Data were obtained from 750 alcohol abusers on a number of socio-behavioral variables. Results demonstrated that the solution given by Ward's method of cluster analysis was particularly powerful in comparison to solutions yielded by ot…
Cluster Analysis
The Methods and Problems of Cluster Analysis
The myth of Hempel and the DSM-III
Computer Science (9 works) · Cluster (spacecraft) (8 works) · Advanced Clustering Algorithms Research (5 works) · Psychology (5 works) · Data mining (4 works) · Mathematics (4 works) · Artificial Intelligence (3 works) · Artificial Intelligence (3 works) · Bayesian Methods and Mixture Models (3 works) · Cluster analysis (3 works)