Louhi et al., 2016 - Google Patents
Incremental nearest neighborhood graph for data stream clusteringLouhi et al., 2016
- Document ID
- 6522502679386609493
- Author
- Louhi I
- Boudjeloud-Assala L
- Tamisier T
- Publication year
- Publication venue
- 2016 International Joint Conference on Neural Networks (IJCNN)
External Links
Snippet
In this paper we deal with one of the most relevant problems in the field of data mining, the real time processing and visualization of data streams. To deal with data streams we propose a novel approach that uses a neighborhood-based clustering. Instead of …
- 238000000034 method 0 abstract description 24
Classifications
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6218—Clustering techniques
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- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6251—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on a criterion of topology preservation, e.g. multidimensional scaling, self-organising maps
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- G—PHYSICS
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- G06Q10/00—Administration; Management
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