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Publication search results
found 38 matches
- 2006
- Edgar Acuña, Jaime Porras:
Improving the Performance of Principal Components for Classification of Gene Expression Data Through Feature Selection. Data Science and Classification 2006: 325-332 - Javier Arroyo, Carlos G. Maté, Antonio Muñoz San Roque:
Hierarchical Clustering for Boxplot Variables. Data Science and Classification 2006: 59-66 - Vladimir Batagelj, Natasa Kejzar, Simona Korenjak-Cerne, Matjaz Zaversnik:
Analyzing the Structure of U.S. Patents Network. Data Science and Classification 2006: 141-148 - François Bavaud:
Spectral Clustering and Multidimensional Scaling: A Unified View. Data Science and Classification 2006: 131-139 - Farid Beninel, Michel Rehomme:
Evaluation of Allocation Rules Under Some Cost Constraints. Data Science and Classification 2006: 67-73 - Emmanuel Blanchard, Pascale Kuntz, Mounira Harzallah, Henri Briand:
A Tree-Based Similarity for Evaluating Concept Proximities in an Ontology. Data Science and Classification 2006: 3-11 - Slavka Bodjanova:
Crisp Partitions Induced by a Fuzzy Set. Data Science and Classification 2006: 75-82 - Marie Chavent, Yves Lechevallier:
Empirical Comparison of a Monothetic Divisive Clustering Method with the Ward and the k-means Clustering Methods. Data Science and Classification 2006: 83-90 - Nathalie Cheze, Jean-Michel Poggi:
Iterated Boosting for Outlier Detection. Data Science and Classification 2006: 213-220 - Ahlame Douzal Chouakria, Panduranga Naidu Nagabhushan:
Improved Fréchet Distance for Time Series. Data Science and Classification 2006: 13-20 - Lucile Denoeud, Alain Guénoche:
Comparison of Distance Indices Between Partitions. Data Science and Classification 2006: 21-28 - Abdoulaye Baniré Diallo, Vladimir Makarenkov, Mathieu Blanchette, François-Joseph Lapointe:
A New Efficient Method for Assessing Missing Nucleotides in DNA Sequences in the Framework of a Generic Evolutionary Model. Data Science and Classification 2006: 333-340 - José Dias:
Model Selection for the Binary Latent Class Model: A Monte Carlo Simulation. Data Science and Classification 2006: 91-99 - Patrick Doreian:
Some Open Problem Sets for Generalized Blockmodeling. Data Science and Classification 2006: 119-130 - Klaus Frieler:
Generalized N-gram Measures for Melodic Similarity. Data Science and Classification 2006: 289-298 - Andrei Gagarin, Dmytro Kevorkov, Vladimir Makarenkov, Pablo Zentilli:
Comparison of Two Methods for Detecting and Correcting Systematic Error in High-throughput Screening Data. Data Science and Classification 2006: 241-249 - Sugnet Gardner, Niël J. le Roux:
Sub-species of Homopus Areolatus? Biplots and Small Class Inference with Analysis of Distance. Data Science and Classification 2006: 221-228 - Karina Gibert, Alejandra Pérez-Bonilla:
Revised Boxplot Based Discretization as the Kernel of Automatic Interpretation of Classes Using Numerical Variables. Data Science and Classification 2006: 229-237 - Miha Grcar, Blaz Fortuna, Dunja Mladenic, Marko Grobelnik:
kNN Versus SVM in the Collaborative Filtering Framework. Data Science and Classification 2006: 251-260 - Patrick J. F. Groenen, Suzanne Winsberg:
Multidimensional Scaling of Histogram Dissimilarities. Data Science and Classification 2006: 161-170 - Christian Hennig, Bernhard Hausdorf:
Design of Dissimilarity Measures: A New Dissimilarity Between Species Distribution Areas. Data Science and Classification 2006: 29-37 - Antonio Irpino, Rosanna Verde:
A New Wasserstein Based Distance for the Hierarchical Clustering of Histogram Symbolic Data. Data Science and Classification 2006: 185-192 - Carlo Lauro, Federica Gioia:
Dependence and Interdependence Analysis for Interval-Valued Variables. Data Science and Classification 2006: 171-183 - Yves Lechevallier, Rosanna Verde, Francisco de A. T. de Carvalho:
Symbolic Clustering of Large Datasets. Data Science and Classification 2006: 193-201 - Vladimir Makarenkov, Alix Boc, Charles F. Delwiche, Alpha Boubacar Diallo, Hervé Philippe:
New Efficient Algorithm for Modeling Partial and Complete Gene Transfer Scenarios. Data Science and Classification 2006: 341-349 - Hans-Joachim Mucha:
Finding Meaningful and Stable Clusters Using Local Cluster Analysis. Data Science and Classification 2006: 101-108 - Daniel Müllensiefen, Klaus Frieler:
Evaluating Different Approaches to Measuring the Similarity of Melodies. Data Science and Classification 2006: 299-306 - Matteo Roffilli, Alessandro Lomi:
Identifying and Classifying Social Groups: A Machine Learning Approach. Data Science and Classification 2006: 149-157 - Fabrice Rossi, Francisco de A. T. de Carvalho, Yves Lechevallier, Alzennyr Da Silva:
Dissimilarities for Web Usage Mining. Data Science and Classification 2006: 39-46 - Christoph Schmitz, Andreas Hotho, Robert Jäschke, Gerd Stumme:
Mining Association Rules in Folksonomies. Data Science and Classification 2006: 261-270
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retrieved on 2024-05-24 03:48 CEST from data curated by the dblp team
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