Diversity-driven Widening of Hierarchical Agglomerative Clustering

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: Advances in Intelligent Data Analysis XIV : 14th International Symposium, IDA 2015 Saint Etienne, France, October 22–24, 2015 Proceedings / Fromont, Elisa; De Bie, Tijl; Leeuwen, Matthijs van (Hrsg.). - Cham : Springer, 2015. - (Lecture Notes in Computer Science ; 9385). - S. 84-94. - ISSN 0302-9743. - eISSN 1611-3349. - ISBN 978-3-319-24464-8
In: Intelligent Data Analysis 2015 : 14th International Symposium, 22. Okt 2015 - 24. Okt 2015, Saint Etienne

Classification: Informatik

Event: Veröffentlichung

(where): Konstanz

(who): Bibliothek der Universität Konstanz

(when): 2015

Creator: Fillbrunn, Alexander
Berthold, Michael

URN: urn:nbn:de:bsz:352-0-305741

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:49 PM CET

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Fillbrunn, Alexander
Berthold, Michael
Bibliothek der Universität Konstanz

Time of origin

2015

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Formation of Hierarchical Fuzzy Rule Systems

Fuzzy Clustering in Parallel Universes with Noise Detection

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Mining of Cell Assay Images Using Active Semi-Supervised-Clustering

On Clustering Time Series Using Euclidean Distance and Pearson Correlation

Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods

Exploring Hierarchical Rule Systems in Parallel Coordinates

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Diversity-driven Widening of Hierarchical Agglomerative Clustering

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Other Objects (12)

Diversity-driven widening

Adaptive Fuzzy Clustering

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Fuzzy clustering in parallel universes

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Formation of Hierarchical Fuzzy Rule Systems

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Widening : using parallel resources to improve model quality

Mining of Cell Assay Images Using Active Semi-Supervised-Clustering

On Clustering Time Series Using Euclidean Distance and Pearson Correlation

Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods

Exploring Hierarchical Rule Systems in Parallel Coordinates

Diversity-driven widening

Adaptive Fuzzy Clustering

Constructing Hierarchical Rule Systems

Fuzzy clustering in parallel universes

Fuzzy Clustering in Parallel Universes

Formation of Hierarchical Fuzzy Rule Systems

Fuzzy Clustering in Parallel Universes with Noise Detection

Widening : using parallel resources to improve model quality

Mining of Cell Assay Images Using Active Semi-Supervised-Clustering

On Clustering Time Series Using Euclidean Distance and Pearson Correlation

Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods

Exploring Hierarchical Rule Systems in Parallel Coordinates

Diversity-driven widening

Adaptive Fuzzy Clustering

Constructing Hierarchical Rule Systems

Fuzzy clustering in parallel universes

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Formation of Hierarchical Fuzzy Rule Systems

Fuzzy Clustering in Parallel Universes with Noise Detection

Widening : using parallel resources to improve model quality

Mining of Cell Assay Images Using Active Semi-Supervised-Clustering

On Clustering Time Series Using Euclidean Distance and Pearson Correlation

Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods

Exploring Hierarchical Rule Systems in Parallel Coordinates

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