The research in the Terry Fox Laboratory (TFL), BC Cancer Agency, Vancouver, BC involves the use of flow cytometry (FCM) technology. Current methods of visualization of these specific data include scatterplots, histograms and contour diagrams, which have their disadvantages in multidimensional data analysis. The work presented in this paper introduces a new visualization tool for flow cytometry...

Traditional library systems are gradually being replaced by digital libraries. Digital libraries developing from simple database-based storage and retrieval to knowledge-based implementation. The fuzzy C-means (FCM) clustering algorithm is an example of data collection processing technology. It evaluates draws conclusions based on mathematics, large data, other technologies. In order better imp...

One of the strategies a company uses to retain its customers is Customer Relationship Management (CRM). CRM manages interactions and supports business build mutually beneficial relationships between companies customers. The utilization information technology, such as data mining used manage data, critical in order be able find out patterns made by when processing transactions. Clustering techni...

Problem statement: Diabetic Retinopathy (DR) is globally the primary cause of visual impairment and blindness in diabetic patients. Retinal image is essential and crucial for ophthalmologists to diagnose diseases. Many of technique can achieve good performance on retinal feature are clearly visible. Unfortunately, it is a normal situation that the retinal images in Thailand are low-quality imag...

Image Classification is the evolution of separating or grouping an image into different parts. The good act of recognition algorithms based on the quality of classified image. The good feat of recognition algorithms based on the quality of classified image. An important problem in SAR image application is accurate classification. Image segmentation is the mainly practical loom among virtually a...

Unsupervised fuzzy clustering algorithms are one of many approaches used in image segmentation. The Fuzzy C-means algorithm (FCM) and the Possibilistic C-means algorithm (PCA) have been widely used. There is also the generalized possibilistic algorithm (GPCA). GPCA was proposed recently and is a general form of the previous algorithms. These clustering algorithms can be trapped to the local opt...

A new robust clustering scheme based on fuzzy c-means is proposed and the concept of a fuzzy mega-cluster is introduced in this paper. The fuzzy mega-cluster is conceptually similar to the noise cluster, designed to group outliers in a separate cluster. This proposed scheme, called the mega-clustering algorithm is shown to be robust against outliers. Another interesting property is its ability ...

Pattern recognition is a collection of computer techniques to classify various observations into different clusters of similar attributes in either supervised or unsupervised manner. Application of fuzzy logic to unsupervised classification or clustering methods has resulted in many wildly used techniques such as fuzzy c-means (FCM) method. However, when the observations are too noisy, the perf...