نتایج جستجو برای: cluster validity
تعداد نتایج: 311806 فیلتر نتایج به سال:
The existence of two subtypes of schizophrenia (positive and negative) is well established. The evidence in favor of other subtypes, particularly a disorganized subtype, is still the subject of some debate. The aim of the study reported in this article is to investigate the possibility of further subtypes of schizophrenia by applying a particular method of cluster analysis to a particular set o...
This paper is a survey of fuzzy set theory applied in cluster analysis. These fuzzy clustering algorithms have been widely studied and applied in a variety of substantive areas. They also become the major techniques in cluster analysis. In this paper, we give a survey of fuzzy clustering in three categories. The first category is the fuzzy clustering based on fuzzy relation. The second one is t...
Introduction: Now a day, resulting from life style modification and alteration, fatigue, as a consequence, is not uncommon symptom. Diverse tools are available to measure fatigue status. One of which is Functional Assessment of Chronic Illness Treatment (FACIT) fatigue scale. The FACIT is one of the most widely used questionnaires for screening fatigue. The questionnaire has been translated and...
Clustering algorithm and cluster validity are two highly correlated parts in cluster analysis. In this paper, a novel idea for cluster validity and a clustering algorithm based on the validity index are introduced. A Centroid Ratio is firstly introduced to compare two clustering results. This centroid ratio is then used in prototype-based clustering by introducing a Pair wise Random Swap cluste...
The result of one clustering algorithm varies from that of another for the same input dataset as the input parameters of an algorithms can substantially affect the behavior and execution of the algorithms. Cluster validity measures can be used to find the partitioning that best fits the underlying data. In most realistic applications, this analysis can be visualized using simple Computer-Aided-...
Background and aims: The Symbolic signs are important tools, designed to convey a message and can transmit a lot of information to the viewer at a glance. Understanding of symptoms is very important especially when they transmit safety information. Signs and symbols have characteristics which affect understanding of them. McDougall et all) 1996(introduced the five key cognitive features of...
BACKGROUND The DSM-IV cluster C Axis II disorders include avoidant (AVPD), dependent (DEPD) and obsessive-compulsive (OCPD) personality disorders. We aimed to estimate the genetic and environmental influences on dimensional representations of these disorders and examine the validity of the cluster C construct by determining to what extent common familial factors influence the individual PDs. ...
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