Add to ORKGOne of the most important tasks in modern world is to find solutions to problems of processing and analyzing multidimensional data. In this paper we present an approach for cluster analysis of multidimensional geometric data. Some definitions and extensions of classical cluster analysis problem is given. Our approach is based on the visualization method. Suggested approach allows us to analyze multidimensional data and distances in multidimensional Euclidean space using three-dimensional spatial scenes and shows an easy way for cluster analysis and anomaly discovery. An example of solving the problem of analysis of financial multidimensional data of credit organizations is also presented
The emerging spatial big data (e.g. detailed spatial trajectories, geo-referenced social media data)...
Visualization and Verbalization of Data shows how correspondence analysis and related techniques ena...
The visual exploration of large databases raises a number of unresolved inference problems and calls...
One of the most important tasks in modern world is to find solutions to problems of processing and a...
This paper describes a cluster visualization system used for data-mining fraud detection. The system...
Abstract — In this paper, we re-consider the problem of mapping a high-dimensional data set into a l...
The paper shows how two powerful techniques for supporting data exploration of multidimensional data...
To my parents The analysis of multidimensional multivariate data has been studied in various re-sear...
This thesis is about visualizing a kind of data that is trivial to process by computers but difficul...
One of the most common operations in exploration and analysis of various kinds of data is clustering...
Visualization of high-dimensional data requires a mapping to a visual space. Whenever the goal is to...
We propose a multidimensional visualization technique, named Viz3D, that creates a 3D representation...
We suggest an approach to exploratory analysis of diverse types of spatiotemporal data with the use ...
Recent clustering based anomaly detection technologies classify new observations in different ways, ...
Cluster analysis is an important technique that has been used in data mining. However, cluster analy...
The emerging spatial big data (e.g. detailed spatial trajectories, geo-referenced social media data)...
Visualization and Verbalization of Data shows how correspondence analysis and related techniques ena...
The visual exploration of large databases raises a number of unresolved inference problems and calls...
One of the most important tasks in modern world is to find solutions to problems of processing and a...
This paper describes a cluster visualization system used for data-mining fraud detection. The system...
Abstract — In this paper, we re-consider the problem of mapping a high-dimensional data set into a l...
The paper shows how two powerful techniques for supporting data exploration of multidimensional data...
To my parents The analysis of multidimensional multivariate data has been studied in various re-sear...
This thesis is about visualizing a kind of data that is trivial to process by computers but difficul...
One of the most common operations in exploration and analysis of various kinds of data is clustering...
Visualization of high-dimensional data requires a mapping to a visual space. Whenever the goal is to...
We propose a multidimensional visualization technique, named Viz3D, that creates a 3D representation...
We suggest an approach to exploratory analysis of diverse types of spatiotemporal data with the use ...
Recent clustering based anomaly detection technologies classify new observations in different ways, ...
Cluster analysis is an important technique that has been used in data mining. However, cluster analy...
The emerging spatial big data (e.g. detailed spatial trajectories, geo-referenced social media data)...
Visualization and Verbalization of Data shows how correspondence analysis and related techniques ena...
The visual exploration of large databases raises a number of unresolved inference problems and calls...