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Model Complexity in Learning from High-Dimensional Data
Model complexity in learning from high dimensional data is estimated using methods of approximation and integration theory.
IN - Informatika
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
High-dimensional data clustering algorithm based on stacked-random projection
This study focuses on high dimensional data, which are characterized by sparsity, redundancy, and high computational complexity. It is impossible to obtain of the high-dimensional data, a...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2020 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
High-Dimensional Entropy Estimation for Finite Accuracy Data: R-NN Entropy Estimator
High-Dimensional Entropy Estimation for Finite Accuracy Data: R-NN Entropy Estimator.
JD - Využití počítačů, robotika a její aplikace
- 2007 •
- D
Rok uplatnění
D - Stať ve sborníku
On Robust Information Extraction from High-Dimensional Data
Information extraction from high-dimensional data represents an important another important aspect of data mining from high-dimensional data. This paper gives an overview of various types...
IN - Informatika
- 2014 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
High-dimensional data classification model based on random projection and Bagging-support vector machine
Aiming at the long training time when classifying high-dimensional data-support vector machine (SVM) to process high-dimensional data. The model first uses random projection to project the input <...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2020 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Robustness of High-Dimensional Data Mining
ideasconcerning classification analysis of high-dimensional data are illustrated on real rawStandard data mining procedures are sensitive to the presence of outlying measurements in the data. This work ha...
IN - Informatika
- 2014 •
- D
Rok uplatnění
D - Stať ve sborníku
Imputation of rounded zeros for high-dimensional compositional data
High-dimensional compositional data, multivariate observations carrying with reasonable numbers, so that the completed data set is ready for use with statistical analysis methods that rely on complete data...
BA - Obecná matematika
- 2016 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
Classification Methods for High-Dimensional Genetic Data
Standard methods of multivariate statistics fail in the analysis of high-dimensional data. This paper gives an overview of recent classification methods proposed for the analysis of high-dimensional da...
BB - Aplikovaná statistika, operační výzkum
- 2014 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
Fuzzy Clustering High-Dimensional Data Using Information Weighting
The fuzzy clustering algorithm for high-dimensional data is proposed in this paper. An objective function which is insensitive to the “concentration of norms” phenomenon is also introduced. We recommend using a weighted par...
Applied mathematics
- 2019 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
High-Dimensional Text Clustering by Dimensionality Reduction and Improved Density Peak
This study focuses on high-dimensional text data clustering, given the inability of K-means to process high-dimensional data and the need to specify the number Projection dimensionality r...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2020 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
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