This paper presents a new clustering algorithm that detects clusters by learning data
distribution of each cluster. Different from most existing clustering techniques, the proposed …

In this paper, we consider designing clustering algorithms that can be used in MapReduce
using Spark platform, one of the most popular programming environment for processing …

Ant-tree is a clustering algorithm inspired by biological ants. This paper defines a variant of
such algorithm to perform colour quantization. Some of the features of the basic Ant-tree …

The discovery of the underlying topology of real-world data is a difficult task due to the high-
dimensional and the complex structure in real datasets. In some cases, when the topology of …

Grasping is one of the key capabilities for a robot operating and interacting with humans in a
real environment. The conventional approaches require accurate information on both object …

Visualization of real world data is a difficult task due to the high-dimensional and the
complex structure in real datasets. Scientific data visualization requires a variety of …

ABSTRACT In Kohonen's Self-Organising Maps (SOM) learning, preserving the map
topology to simulate the actual input features appears to be a significant process …

The discovery of the underlying topology of real world data is a difficult task due to the high-
dimensional and the complex structure in real datasets. In some cases, it is advantageous to …