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Heuristics for capacitated messenger problem

Basic themes of document: capacitated messenger problem; heuristics; nearest neighbour; insertion method; exchange method......

BB - Aplikovaná statistika, operační výzkum

  • 2014
  • D
Result

k-Depth-nearest Neighbour Method and its Performance on Skew-normal Distributons

In the present paper we investigate performance of the k-depth-nearest classifier. This classifier, proposed recently by Vencalek, uses the concept of data depth to improve the classification method known as the k-nearest <...

BA - Obecná matematika

  • 2013
  • Jx
  • Link
Result

Wages in the Czech Regions

Main topics of the document: wage distribution; cluster analysis; method of the nearest neighbour; Euclidean distance metric; Akaike and Bayesian information criterions......

Statistics and probability

  • 2017
  • D
Result

A DEPTH-BASED MODIFICATION OF THE K-NEAREST NEIGHBOUR METHOD

classifier was inspired by the k nearest neighbour (kNN) method. It is based on the idea of a depth-based distributional neighbourhood and is called k nearest depth neighbours classifiers as well as the c...

Statistics and probability

  • 2021
  • Jimp
  • Link
Result

Nearest neighbour distance does not affect escape behaviour in urban hooded crows

The nearest-neighbour distance is an important property of a group individuals. We examined whether distance to the nearest neighbour affected two components to starting distance and grass coverage. The lack of evi...

Behavioral sciences biology

  • 2024
  • Jimp
  • Link
Result

Cluster analysis and principal component method in the application of searching outliers of age-specific mortality rates in the Czech Republic and Slovakia

Basic themes of document: principal component method; cluster analysis; age-specific mortality rates; Czech Republic; Slovakia; demographic development; nearest neighbour clustering method; analysing similarities o...

AO - Sociologie, demografie

  • 2014
  • Jx
  • Link
Result

New Depth-Based Modification of the k-Nearest Neighbour Method

In this paper, we propse a new depth-based modification of the k-nearest neighbor method. We want to classify a new d-dimensional observation into one of two groups. Newly proposed method is based on the idea that points wi...

BA - Obecná matematika

  • 2014
  • Jx
  • Link
Result

Clustering Use in Knowledge Discovery

. Clustering analysis belongs to unsupervised methods of data mining. We put here a focus on this method. Some basic principles are described in the second part of this paper. This method is examined on two examples from th...

BB - Aplikovaná statistika, operační výzkum

  • 2008
  • D
Result

Data Mining with Clustering

. Clustering analysis belongs to unsupervised methods of data mining. We put here a focus on this method. Some basic principles are described in the second part of this paper. This method is examined on two examples from th...

AE - Řízení, správa a administrativa

  • 2008
  • Jx
Result

How Many Neighbours for Known-Item Search?

for one or just a few nearest neighbours to a query does not have to be sufficient for a larger number of nearest neighbours is discussed. A baseline approach for finding a larger number of approximate nearest...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2021
  • D
  • Link
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