K-Means algorithm is one of the famous partitioning clustering techniques that has been
studied extensively. However, the major problem with this method that it cannot ensure the …

Clustering is a widely used data mining tool that has been paid enormous attention by the
research community. We introduce here a new clustering algorithm which is based on …

Microarray technology for profiling gene expression levels is a popular tool in modern
biological research. Applications range from tissue classification to the detection of …

Clustering is an essential tool in data mining that has drawn enormous attention. In this
paper, we present a new clustering algorithm with the help of Voronoi diagram. Here the …

Abstract The AMIC@ Web Server offers a light-weight multi-method clustering engine for
microarray gene-expression data. AMIC@ is a highly interactive tool that stresses user …

В данной статье рассматривается кластеризация по методу k-средних с выбором
центроидов кластеров для первой итерации, используя диаграмму Вороного. Такой …

Document clustering is an effective tool to manage information overload. By grouping similar
documents together, we enable a human observer to quickly browse large document …

K-means is one of the widely researched clustering algorithms. But it is sensitive to the
selection of initial cluster centers and estimation of the number of clusters. In this chapter, we …

As a simple clustering method K-means is known as an algorithm of choice for many
clustering challenges due to its performance of clustering large data sets. However, it has …

Document clustering is an effective tool to manage information overload. By grouping similar
documents together, we enable a human observer to quickly browse large document …