Clustering and Classification of Cases Using
نویسندگان
چکیده
Case-base Reasoning (C great attention in the last allows user to store, sha stored inside the system solving experiences/cases solve unknown problems knowledge. When the ca very difficulty to maintai when similar cases have as redundant cases, co cases, subsumed cases exist in the case-base. Th maintenance (CBM) prob a method to improve the p classification of cases in using a learned global f This methodology is base use similarity measure (clusters) in the problemin a cluster are closely rel among different clusters It has been demonstrated performance of clustering weights is much better th global feature weights efficiency and accuracy system.
منابع مشابه
Improving Imbalanced data classification accuracy by using Fuzzy Similarity Measure and subtractive clustering
Classification is an one of the important parts of data mining and knowledge discovery. In most cases, the data that is utilized to used to training the clusters is not well distributed. This inappropriate distribution occurs when one class has a large number of samples but while the number of other class samples is naturally inherently low. In general, the methods of solving this kind of prob...
متن کاملبه کارگیری روش‌های خوشه‌بندی در ریزآرایه DNA
Background: Microarray DNA technology has paved the way for investigators to expressed thousands of genes in a short time. Analysis of this big amount of raw data includes normalization, clustering and classification. The present study surveys the application of clustering technique in microarray DNA analysis. Materials and methods: We analyzed data of Van’t Veer et al study dealing with BRCA1...
متن کاملWater Quality Zoning of Rivers by the Technique of Fuzzy Clustering Analysis
Zoning the pollution of a river may be the first or even the most important step in water quality management. In order to resolve its pollution, fuzzy clustering analysis may be used whenever a composite classification of water quality incorporates mutiple parameters
 
In such cases, the technique may be used as a complement or an alternative to comprehensive assessment. In fuzzy cluster...
متن کاملWater Quality Zoning of Rivers by the Technique of Fuzzy Clustering Analysis
Zoning the pollution of a river may be the first or even the most important step in water quality management. In order to resolve its pollution, fuzzy clustering analysis may be used whenever a composite classification of water quality incorporates mutiple parameters In such cases, the technique may be used as a complement or an alternative to comprehensive assessment. In fuzzy clustering ...
متن کاملProposing a Novel Cost Sensitive Imbalanced Classification Method based on Hybrid of New Fuzzy Cost Assigning Approaches, Fuzzy Clustering and Evolutionary Algorithms
In this paper, a new hybrid methodology is introduced to design a cost-sensitive fuzzy rule-based classification system. A novel cost metric is proposed based on the combination of three different concepts: Entropy, Gini index and DKM criterion. In order to calculate the effective cost of patterns, a hybrid of fuzzy c-means clustering and particle swarm optimization algorithm is utilized. This ...
متن کاملOn Model-Based Clustering, Classification, and Discriminant Analysis
The use of mixture models for clustering and classification has burgeoned into an important subfield of multivariate analysis. These approaches have been around for a half-century or so, with significant activity in the area over the past decade. The primary focus of this paper is to review work in model-based clustering, classification, and discriminant analysis, with particular attenti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001