Cluster Analysis for Applications

doi:https://doi.org/10.1016/c2013-0-06161-0

Cluster Analysis for Applications

1973 · Elsevier eBooks · 5,152 citations · 15 from inside this corpus

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15 of 15 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

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Citation edge evidence

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Data clustering→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
Data clustering: 50 years beyond K-means→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
Algorithms for Clustering Data→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
Survey of Clustering Algorithms→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
Variable neighborhood search→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
A survey on semi-supervised learning→Cluster Analysis for ApplicationsLegacy 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
Algorithms for hierarchical clustering: an overview→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
Essentials of the self-organizing map→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
Comparing clusterings—an information based distance→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
Compositional dissimilarity as a robust measure of ecological distance→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
An introduction to concept mapping for planning and evaluation→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
A Method for Comparing Two Hierarchical Clusterings→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
Compositional dissimilarity as a robust measure of ecological distance→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
Genetic algorithm-based clustering technique→Cluster Analysis for ApplicationsLegacy edge — source detail unavailable
Data clustering→Algorithms for Clustering DataLegacy edge — source detail unavailable
Data clustering: 50 years beyond K-means→Algorithms for Clustering DataLegacy edge — source detail unavailable
Genetic algorithm-based clustering technique→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
Survey of Clustering Algorithms→Algorithms for Clustering DataLegacy edge — source detail unavailable
Survey of Clustering Algorithms→Data clusteringLegacy edge — source detail unavailable
Survey of Clustering Algorithms→Genetic algorithm-based clustering techniqueLegacy 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
Comparing clusterings—an information based distance→Algorithms for Clustering DataLegacy edge — source detail unavailable
Comparing clusterings—an information based distance→A Method for Comparing Two Hierarchical ClusteringsLegacy edge — source detail unavailable
Algorithms for hierarchical clustering: an overview→Algorithms for Clustering DataLegacy edge — source detail unavailable
Algorithms for hierarchical clustering: an overview→Data clusteringLegacy edge — source detail unavailable
Algorithms for hierarchical clustering: an overview→Survey of Clustering AlgorithmsLegacy edge — source detail unavailable

What cites it, inside the corpus

Paper	Year	Cited
Data clustering	1999	13,263
Data clustering: 50 years beyond K-means	2009	9,368
Algorithms for Clustering Data	1990	7,849
Survey of Clustering Algorithms	2005	6,210
Variable neighborhood search	1997	4,202
A survey on semi-supervised learning	2019	2,636
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values	1998	2,509
Algorithms for hierarchical clustering: an overview	2011	1,876
Essentials of the self-organizing map	2012	1,617
Comparing clusterings—an information based distance	2006	1,589
Compositional dissimilarity as a robust measure of ecological distance	1987	1,581
An introduction to concept mapping for planning and evaluation	1989	1,536
A Method for Comparing Two Hierarchical Clusterings	1983	1,497
Compositional dissimilarity as a robust measure of ecological distance	1987	1,460
Genetic algorithm-based clustering technique	2000	1,459

Links

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Topics

Advanced Clustering Algorithms Research	Computer Science
Bayesian Methods and Mixture Models	Computer Science
Neural Networks and Applications	Computer Science

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