PERBANDINGAN PENGKLUSTERAN DATA IRIS MENGGUNAKAN METODE K-MEANS DAN FUZZY C-MEANS
نویسندگان
چکیده
منابع مشابه
A Study of Iris Segmentation Methods using Fuzzy C-Means and K-Means Clustering Algorithm
A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Among most of the biometric methods, Iris recognition is regarded as the most reliable and accurate biometric identification system. The performance of iris recognition system highly depends on the accurate segmentation. For the Iris Segmentation there i...
متن کاملA Study of Iris Segmentation Methods using Fuzzy C-Means and K-Means Clustering Algorithm
A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Among most of the biometric methods, Iris recognition is regarded as the most reliable and accurate biometric identification system. The performance of iris recognition system highly depends on the accurate segmentation. For the Iris Segmentation there i...
متن کاملتصحیح سیستم طبقه‌بندی امتیاز توده‌سنگ با استفاده از الگوریتم‌های خوشه‌بندی k-means و fuzzy c-means
با توجه به اهمیت و کاربرد سیستم طبقه‌بندی امتیاز توده‌سنگ در مهندسی سنگ، هدف از این مقاله تصحیح کلاس‌های نهایی این سیستم طبقه‌بندی با استفاده از الگوریتم‌های خوشه‌بندی k-means و fuzzy c-means (FCM) است. در سیستم طبقه‌بندی امتیاز توده‌سنگ داده‌ها توسط یک سری از اطلاعات اولیه بر مبنای نظریات و قضاوت‌های تجربی طبقه‌بندی می‌شوند ولی با کاربرد الگوریتم‌های خوشه‌بندی در این سیستم طبقه‌بندی، کلاس...
متن کاملComparative Analysis of K-Means and Fuzzy C-Means Algorithms
In the arena of software, data mining technology has been considered as useful means for identifying patterns and trends of large volume of data. This approach is basically used to extract the unknown pattern from the large set of data for business as well as real time applications. It is a computational intelligence discipline which has emerged as a valuable tool for data analysis, new knowled...
متن کاملPersistent K-Means: Stable Data Clustering Algorithm Based on K-Means Algorithm
Identifying clusters or clustering is an important aspect of data analysis. It is the task of grouping a set of objects in such a way those objects in the same group/cluster are more similar in some sense or another. It is a main task of exploratory data mining, and a common technique for statistical data analysis This paper proposed an improved version of K-Means algorithm, namely Persistent K...
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ژورنال
عنوان ژورنال: Jurnal Matematika "MANTIK"
سال: 2016
ISSN: 2527-3167,2527-3159
DOI: 10.15642/mantik.2016.2.1.7-13