Extensive amount of data stored in medical documents require developing methods that help users to find what they are looking for effectively by organizing large amounts of information into a small number of meaningful clusters. The produced clusters contain groups of objects which are more similar to each other than to the members of any other group. Thus, the aim of high-quality document clus...

Cluster analysis is a common task in data mining, machine learning and related fields. There exist a plethora of clustering algorithms designed for this purpose, but many are prohibitively inefficient (e.g. quality-threshold clustering), non-deterministic (k-means) or utilise inherently lossy partitioning models (k-d tree clustering). Single-linkage hierarchical clustering is a form of cluster ...

A problem with the modelling of clusters as d dimensional centroids is that centroids cannot relay much information about cluster shape i.e. elongated, circular, irregular etc... The Agglomerative-Partitional Clustering (APC) methodology introduced here attempts to remedy this situation by joining together centroids coexisting within regions of relatively high density with line segments. Interc...

Cluster analysis ~ystem by using Statistical Analysis System (SAS) is constructed. The analysis system is applied to Landsat TM data. The s:x spectral bands except t~e thermal band of TM data are used for analysis. Three hierarchical algorithms of cluster analysIs, \\:,ard method, a,:,erag~ lmkage, and centroid method, are prepared in the framework of SAS cluster. The results by three alg;of1th...

Now a day’s digital world data in computers has great significance and this data is extremely critical in perspective for upcoming position and learn irrespective of different fields. Therefore we assessment of such data is vital and imperative task. Computer forensic analysis a lot of data there in the digital campaign is study to extract data and computers consist of hundreds of thousands of ...

The ability to visualize documents into clusters is very essential. The best data summarization technique could be used to summarize data but a poor representation or visualization of it will be totally misleading. As proposed in many researches, clustering techniques are applied and the results are produced when documents are grouped in clusters. However, in some cases, user may want to know t...

In the hierarchical wireless sensor network (WSN), cluster-based network architecture can enhance network self-control capability and resource efficiency, and prolong the whole network lifetime. Thus, clustering has also been a topic of interest in many different disciplines. Finding an energy-effective and efficient way to generate cluster is very important in WSN. We propose a distributed, en...