On Clustering Validation Techniques
Maria Halkidi, Yannis Batistakis low, Michalis Vazirgiannis
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Citation edge evidence
- Unsupervised K-Means Clustering Algorithm→On Clustering Validation TechniquesLegacy edge — source detail unavailable
- Algorithms for hierarchical clustering: an overview→On Clustering Validation TechniquesLegacy edge — source detail unavailable
- NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set→On Clustering Validation TechniquesLegacy edge — source detail unavailable
- An extensive comparative study of cluster validity indices→On Clustering Validation TechniquesLegacy edge — source detail unavailable
- On Clustering Validation Techniques→Data clusteringLegacy edge — source detail unavailable
- On Clustering Validation Techniques→A Cluster Separation MeasureLegacy edge — source detail unavailable
- On Clustering Validation Techniques→FCM: The fuzzy c-means clustering algorithmLegacy edge — source detail unavailable
- On Clustering Validation Techniques→BIRCHLegacy edge — source detail unavailable
- On Clustering Validation Techniques→An Examination of Procedures for Determining the Number of Clusters in a Data SetLegacy edge — source detail unavailable
- On Clustering Validation Techniques→A validity measure for fuzzy clusteringLegacy edge — source detail unavailable
- On Clustering Validation Techniques→BIRCHLegacy edge — source detail unavailable
- On Clustering Validation Techniques→Unsupervised optimal fuzzy clusteringLegacy edge — source detail unavailable
- On Clustering Validation Techniques→Rock: A robust clustering algorithm for categorical attributesLegacy edge — source detail unavailable
- NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set→An Examination of Procedures for Determining the Number of Clusters in a Data SetLegacy edge — source detail unavailable
- NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set→Data clusteringLegacy edge — source detail unavailable
- NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set→A Cluster Separation MeasureLegacy edge — source detail unavailable
- An Examination of Procedures for Determining the Number of Clusters in a Data Set→A Cluster Separation MeasureLegacy edge — source detail unavailable
- An extensive comparative study of cluster validity indices→An Examination of Procedures for Determining the Number of Clusters in a Data SetLegacy edge — source detail unavailable
- An extensive comparative study of cluster validity indices→A Cluster Separation MeasureLegacy edge — source detail unavailable
- Data clustering→BIRCHLegacy edge — source detail unavailable
- Data clustering→BIRCHLegacy edge — source detail unavailable
- A validity measure for fuzzy clustering→Unsupervised optimal fuzzy clusteringLegacy edge — source detail unavailable
- Rock: A robust clustering algorithm for categorical attributes→BIRCHLegacy edge — source detail unavailable
- Unsupervised optimal fuzzy clustering→A Cluster Separation MeasureLegacy edge — source detail unavailable
- Algorithms for hierarchical clustering: an overview→Data clusteringLegacy edge — source detail unavailable
- Unsupervised K-Means Clustering Algorithm→A Cluster Separation MeasureLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Data clustering | 1999 | 13,263 |
| A Cluster Separation Measure | 1979 | 9,060 |
| FCM: The fuzzy c-means clustering algorithm | 1984 | 6,661 |
| BIRCH | 1996 | 3,918 |
| An Examination of Procedures for Determining the Number of Clusters in a Data Set | 1985 | 3,889 |
| A validity measure for fuzzy clustering | 1991 | 3,401 |
| BIRCH | 1996 | 2,075 |
| Unsupervised optimal fuzzy clustering | 1989 | 1,646 |
| Rock: A robust clustering algorithm for categorical attributes | 2000 | 1,487 |
What cites it, inside the corpus
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Topics
| Advanced Clustering Algorithms Research | Computer Science |
| Data Mining Algorithms and Applications | Computer Science |
| Data Management and Algorithms | Computer Science |
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- supports3 author record(s) attached.
- supports37 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
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