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Traditional Chinese Medicine offers a holistic approach that could provide complementary benefits for bipolar disorder treatment. However, the clinical cases in Traditional Chinese Medicine are highly ...

1.2.1 Introduction 1.2.1.1 Outline 1.2.1.2 Problem 1.2.1.3 Classification 1.2.1.4 Classification to Clustering 1.2.2 Definitions 1.2.2.1 Unsupervised Learning 1.2.2.2 ...

Abstract: In order to diagnose the power transformer fault effectively, a model to diagnose the fault of power transformer, which is based on association rules analysis, is proposed in this paper.

While \(K\)-means clustering is used primarily for numerical measures, we often have data where the variables are categorical. A common database type that we haven’t yet met comes in the form of a ...

Obesity is a prevalent metabolic disease that increases the risk of other diseases, such as hypertension, diabetes, hyperlipidemia, cardiovascular disease, and certain cancers. A meta-analysis of 11 ...

Wind energy has been connected to the power system on a large scale with the advantage of little pollution and large reserves. While ramping events under the influence of extreme weather will cause ...

Apriori is a Join-Based algorithm and FP-Growth is Tree-Based algorithm for frequent itemset mining or frequent pattern mining for market basket analysis. Apriori and FP-Growth are two fundamental ...