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Using cluster analysis techniques based on K-means and Kohonen clustering methods in credit scoring
Main topics of the document: SOM; cluster analysis; K-means; Kohonen clustering method; credit scoring...
BB - Aplikovaná statistika, operační výzkum
- 2014 •
- D
Rok uplatnění
D - Stať ve sborníku
Poisson distribution based initialization for fuzzy clustering
Main topics of the document: Poisson distribution based initialization; k-means clustering; Fuzzy c-means clustering; PCA clustering; UPFC clistering......
BB - Aplikovaná statistika, operační výzkum
- 2012 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
High-Dimensional Text Clustering by Dimensionality Reduction and Improved Density Peak
the inability of K-means to process high-dimensional data and the need to specify the number Projection dimensionality reduction framework and an enhanced K-means algorithm DPC-K algorithm determines the ...
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
Initial partition into clusters and its impal on the final clustering by means of k-means methods
One of the most common clustering techniques is k-means method, which is based on the principle of minimizing the sum of the square distances betven the objects and also the one that the final clustering is very se...
BB - Aplikovaná statistika, operační výzkum
- 2009 •
- D
Rok uplatnění
D - Stať ve sborníku
Fuzzy Clustering
Basic themes of document: k-means; FCM; PCM; PCA; UPFC; methods of the partitioning clustering...
BB - Aplikovaná statistika, operační výzkum
- 2012 •
- D
Rok uplatnění
D - Stať ve sborníku
Clustering Genetic Algorithm
We present and study a clustering technique based on genetic algorithms - Clustering Genetic Algorithm. We show that it outperforms the k-means algorithm on some tasks, and is able to optimise the number of clu...
IN - Informatika
- 2007 •
- D
Rok uplatnění
D - Stať ve sborníku
Financial distress criteria defined by clustering of longitudinal data
Main topics of the document: financial distress; longitudinal data clustering; k-means partitioning...
BB - Aplikovaná statistika, operační výzkum
- 2016 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Using k-means methods to clustering of data sets containing outliers
such example is the two-step k-means algorithm. The paper proposes an alternative to the k a third option involving the detection of outliers by modifying the algorithm k-meansGreat sensitivity of clu...
BB - Aplikovaná statistika, operační výzkum
- 2010 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Estimation of the inductive model od objects clustering stability based on the K-means algorithm for different levels of data noise
The inductive model of the objective clustering of objects based on the k-means algorithm clustering is presented in the paper. The algorithm for division of initial; are presented in the paper. The algorithms ...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2016 •
- Jost •
- Link
Rok uplatnění
Jost - Ostatní články v recenzovaných periodicích
Výsledek na webu
Can longitudinal clustering help to define financial distress criteria?
Main topics of the document: financial distress; longitudinal data clustering; K-means partitioning; model-based partitioning......
Statistics and probability
- 2018 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
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