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Chapter
THE MODIFIED FUZZY C-MEANS METHOD
FOR CLUSTERING OF MICROARRAY DATA
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A COMPARATIVE ANALYSIS BETWEEN K-MEDOIDS AND
FUZZY C-MEANS CLUSTERING ALGORITHMS FOR
STATISTICALLY DISTRIBUTED DATA POINTS
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This paper presents a new cluster validity index for nding a suitable number of
fuzzy clusters with crisp and fuzzy data. The new index, called the ECAS-index, contains
exponential compactness and separation measures. These measures indicate ho
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Abstract—This paper proposes a new strategy to meet the controllable
heating, ventilation, and air conditioning (HVAC) load
with a hybrid-renewable generation and energy storage system.
Historical hourly wind speed, solar irradiance, and load d
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模糊聚类算法源码，通过迭代聚类中心，以及隶属度函数，完成代码运算，用于数据挖掘初学者使用。(Fuzzy clustering algorithm source code, through the iterative clustering centers and membership function, complete code for data mining operations, for beginners to use.)
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