The aim of the present article is to show the possibility of using the methods of cluster analysis in classification of stocks of finished products. Cluster analysis creates groups (clusters) of finished products according to similarity in demand i.e. customer requirements for each product. Manner stocks sorting of finished products by clusters is described a practical example. The resultants clusters are incorporated into the draft layout of the distribution warehouse
Clustering is one of the most useful tasks in data mining process for discovering groups and identif...
This diploma work is called ``The Market Segmentation with using Cluster Analysis Methods``. This se...
AbstractTwo main activities in retail business are to determine the amount of stock that should be m...
AbstractThe submitted article is focused on the field of distribution logistics with the aim of clus...
A good and accurate stock management system is crucial in any institution or organization that condu...
Cluster analysis divides data into meaningful or useful groups clusters . One of the most important ...
This paper introduces a new stochastic clustering methodology devised for the analysis of categorize...
This thesis aims to describe the theoretical principles of customer segmentation using modern method...
In this work we study algorithms for cluster analysis and their application to the real data. In the...
One way for businesses to stay ahead in a competitive market is through the launch of new products a...
Software and product designers use card sorting to understand item groups and relationships. In the ...
The paper proposes a new approach to the agglomeration of data in cluster analysis. These approach f...
AbstractCluster analysis can be defined as identifying groups of similar objects to discover distrib...
In this article, clustering approach was implemented to classify 79 selected stocks of Iran stock ma...
The article examines the process of formation inventory of the enterprise and determines the optimal...
Clustering is one of the most useful tasks in data mining process for discovering groups and identif...
This diploma work is called ``The Market Segmentation with using Cluster Analysis Methods``. This se...
AbstractTwo main activities in retail business are to determine the amount of stock that should be m...
AbstractThe submitted article is focused on the field of distribution logistics with the aim of clus...
A good and accurate stock management system is crucial in any institution or organization that condu...
Cluster analysis divides data into meaningful or useful groups clusters . One of the most important ...
This paper introduces a new stochastic clustering methodology devised for the analysis of categorize...
This thesis aims to describe the theoretical principles of customer segmentation using modern method...
In this work we study algorithms for cluster analysis and their application to the real data. In the...
One way for businesses to stay ahead in a competitive market is through the launch of new products a...
Software and product designers use card sorting to understand item groups and relationships. In the ...
The paper proposes a new approach to the agglomeration of data in cluster analysis. These approach f...
AbstractCluster analysis can be defined as identifying groups of similar objects to discover distrib...
In this article, clustering approach was implemented to classify 79 selected stocks of Iran stock ma...
The article examines the process of formation inventory of the enterprise and determines the optimal...
Clustering is one of the most useful tasks in data mining process for discovering groups and identif...
This diploma work is called ``The Market Segmentation with using Cluster Analysis Methods``. This se...
AbstractTwo main activities in retail business are to determine the amount of stock that should be m...