Algorithms for Clustering Data
Warren S. Sarle low, Anil K. Jain low, Richard C. Dubes low
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Citation edge evidence
- Data clustering→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Anomaly detection→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Data clustering: 50 years beyond K-means→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→Algorithms for Clustering DataLegacy edge — source detail unavailable
- A Survey of Clustering Data Mining Techniques→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values→Algorithms for Clustering DataLegacy edge — source detail unavailable
- A Comparison of Document Clustering Techniques→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Constrained K-means Clustering with Background Knowledge→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Model-Based Gaussian and Non-Gaussian Clustering→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Unsupervised K-Means Clustering Algorithm→Algorithms for Clustering DataLegacy edge — source detail unavailable
- A Comprehensive Survey of Clustering Algorithms→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Efficient algorithms for mining outliers from large data sets→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Algorithms for hierarchical clustering: an overview→Algorithms for Clustering DataLegacy edge — source detail unavailable
- On cluster validity for the fuzzy c-means model→Algorithms for Clustering DataLegacy edge — source detail unavailable
- A Framework for Clustering Evolving Data Streams→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Genetic K-means algorithm→Algorithms for Clustering DataLegacy edge — source detail unavailable
- The text mining handbook: advanced approaches in analyzing unstructured data→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Comparing clusterings—an information based distance→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Clustering with Bregman Divergences→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Rock: A robust clustering algorithm for categorical attributes→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Genetic algorithm-based clustering technique→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Scatter/Gather→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Performance evaluation of some clustering algorithms and validity indices→Algorithms for Clustering DataLegacy edge — source detail unavailable
- An extensive comparative study of cluster validity indices→Algorithms for Clustering DataLegacy edge — source detail unavailable
- A review of clustering techniques and developments→Algorithms for Clustering DataLegacy edge — source detail unavailable
- Algorithms for Clustering Data→Clustering AlgorithmsLegacy edge — source detail unavailable
- Algorithms for Clustering Data→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
- Algorithms for Clustering Data→An Examination of Procedures for Determining the Number of Clusters in a Data SetLegacy edge — source detail unavailable
- A Comprehensive Survey of Clustering Algorithms→A Comparison of Document Clustering TechniquesLegacy edge — source detail unavailable
- A Comprehensive Survey of Clustering Algorithms→Data clusteringLegacy edge — source detail unavailable
- A Comprehensive Survey of Clustering Algorithms→Data clustering: 50 years beyond K-meansLegacy edge — source detail unavailable
- A Comprehensive Survey of Clustering Algorithms→Survey of Clustering AlgorithmsLegacy edge — source detail unavailable
- A Comprehensive Survey of Clustering Algorithms→A Framework for Clustering Evolving Data StreamsLegacy edge — source detail unavailable
- A Survey of Clustering Data Mining Techniques→A Comparison of Document Clustering TechniquesLegacy edge — source detail unavailable
- A Survey of Clustering Data Mining Techniques→An Examination of Procedures for Determining the Number of Clusters in a Data SetLegacy edge — source detail unavailable
- A Survey of Clustering Data Mining Techniques→Data clusteringLegacy edge — source detail unavailable
- A Survey of Clustering Data Mining Techniques→Scatter/GatherLegacy edge — source detail unavailable
- A Survey of Clustering Data Mining Techniques→Rock: A robust clustering algorithm for categorical attributesLegacy edge — source detail unavailable
- A Survey of Clustering Data Mining Techniques→Model-Based Gaussian and Non-Gaussian ClusteringLegacy edge — source detail unavailable
- A Survey of Clustering Data Mining Techniques→Efficient algorithms for mining outliers from large data setsLegacy edge — source detail unavailable
- A Survey of Clustering Data Mining Techniques→Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical ValuesLegacy edge — source detail unavailable
- A Survey of Clustering Data Mining Techniques→Clustering AlgorithmsLegacy edge — source detail unavailable
- A Comparison of Document Clustering Techniques→Scatter/GatherLegacy edge — source detail unavailable
- An Examination of Procedures for Determining the Number of Clusters in a Data Set→Clustering AlgorithmsLegacy 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→Performance evaluation of some clustering algorithms and validity indicesLegacy edge — source detail unavailable
- Data clustering→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
- Data clustering→Clustering AlgorithmsLegacy edge — source detail unavailable
- Data clustering: 50 years beyond K-means→A Comparison of Document Clustering TechniquesLegacy edge — source detail unavailable
- Data clustering: 50 years beyond K-means→Rock: A robust clustering algorithm for categorical attributesLegacy edge — source detail unavailable
- Data clustering: 50 years beyond K-means→Clustering with Bregman DivergencesLegacy edge — source detail unavailable
- Data clustering: 50 years beyond K-means→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
- Data clustering: 50 years beyond K-means→A Framework for Clustering Evolving Data StreamsLegacy edge — source detail unavailable
- Data clustering: 50 years beyond K-means→Clustering AlgorithmsLegacy edge — source detail unavailable
- The text mining handbook: advanced approaches in analyzing unstructured data→Data clusteringLegacy edge — source detail unavailable
- Genetic algorithm-based clustering technique→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
- Genetic algorithm-based clustering technique→Clustering AlgorithmsLegacy edge — source detail unavailable
- Performance evaluation of some clustering algorithms and validity indices→An Examination of Procedures for Determining the Number of Clusters in a Data SetLegacy edge — source detail unavailable
- Performance evaluation of some clustering algorithms and validity indices→Genetic algorithm-based clustering techniqueLegacy edge — source detail unavailable
- Anomaly detection→Rock: A robust clustering algorithm for categorical attributesLegacy edge — source detail unavailable
- Anomaly detection→Efficient algorithms for mining outliers from large data setsLegacy edge — source detail unavailable
- Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values→An Examination of Procedures for Determining the Number of Clusters in a Data SetLegacy edge — source detail unavailable
- Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→A Survey of Clustering Data Mining TechniquesLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→A Comparison of Document Clustering TechniquesLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→An Examination of Procedures for Determining the Number of Clusters in a Data SetLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→Data clusteringLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→On cluster validity for the fuzzy c-means modelLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→Rock: A robust clustering algorithm for categorical attributesLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→Genetic algorithm-based clustering techniqueLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→Genetic K-means algorithmLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→Constrained K-means Clustering with Background KnowledgeLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical ValuesLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→Clustering AlgorithmsLegacy edge — source detail unavailable
- Comparing clusterings—an information based distance→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
- Comparing clusterings—an information based distance→Clustering AlgorithmsLegacy edge — source detail unavailable
- Algorithms for hierarchical clustering: an overview→Data clusteringLegacy edge — source detail unavailable
- Algorithms for hierarchical clustering: an overview→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
- Algorithms for hierarchical clustering: an overview→Survey of Clustering AlgorithmsLegacy edge — source detail unavailable
- A review of clustering techniques and developments→A Comprehensive Survey of Clustering AlgorithmsLegacy edge — source detail unavailable
- A review of clustering techniques and developments→Data clusteringLegacy edge — source detail unavailable
- A review of clustering techniques and developments→Data clustering: 50 years beyond K-meansLegacy edge — source detail unavailable
- A review of clustering techniques and developments→Rock: A robust clustering algorithm for categorical attributesLegacy edge — source detail unavailable
- A review of clustering techniques and developments→Model-Based Gaussian and Non-Gaussian ClusteringLegacy edge — source detail unavailable
- A review of clustering techniques and developments→Survey of Clustering AlgorithmsLegacy edge — source detail unavailable
- Unsupervised K-Means Clustering Algorithm→Data clustering: 50 years beyond K-meansLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Clustering Algorithms | 1975 | 5,833 |
| Cluster Analysis for Applications | 1973 | 5,152 |
| An Examination of Procedures for Determining the Number of Clusters in a Data Set | 1985 | 3,889 |
What cites it, inside the corpus
Links
Topics
| Advanced Clustering Algorithms Research | Computer Science |
| Data Management and Algorithms | Computer Science |
| Bayesian Methods and Mixture Models | Computer Science |
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