Clustering is a useful technique to group data entities. Many different algorithms have been
proposed for software clustering. To combine the strengths of various algorithms …

Software clustering is a useful technique to recover architecture of a software system. The
results of clustering depend upon choice of entities, features, similarity measures and …

Hierarchical clustering groups similar entities on the basis of some similarity (or distance)
association and results in a tree like structure, called dendrogram. Dendrograms represent …

This paper proposes an automated approach for supporting software maintenance using
software metrics and data mining. We gather metric values from C# source code elements …

Clustering is a data mining technique that allows the grouping of data points on the basis of
their similarity with respect to multiple dimensions of measurement. It has also been applied …

Clustering is a data analysis technique, particularly useful when there are many dimensions
and little prior information about the data. Partitional clustering algorithms are efficient but …

This paper presents ongoing work on using data mining clustering to support the evaluation
of software systems' maintainability. As input for our analysis we employ software …

In this paper a 12 bits 50 kS/s micropower hybrid ADC is proposed for biomimetic
microelectronic systems using 0.18 mum CMOS process. The hybrid ADC combines SAR …

Various binary similarity measures have been employed in clustering approaches to make
homogeneous groups of similar entities in the data. These similarity measures are mostly …

In this paper, we present a novel clustering algorithm to generate a number of candidate
clusters from other web search results. The candidate clusters generate a connective …