category clustering 中文意思是什麼
category clustering
解釋
范疇群集- category : n. 1. 類型，部門，種類，類別；類目。2. 【哲、邏】范疇。3. 〈pl. 〉體重等級。
- clustering : 叢聚
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The article explained the formation and development of the category study from philosophy and psychology, 4 points of view about perceptual classifying, classifying and clustering in methodology, connection between design solution and analogism
論文從哲學和認知心理學的角度闡述了類別研究的形成與發展，以及關於人的知覺分類行為的四種觀點（規則觀、原型觀、樣例觀、理論觀） 、方法學上的分類與聚類、設計求解與類比推理的關系。 -
3 ) k - mean clustering algorithm is used classification. the category is two, according to the object and the experience knowledge
3 ）應用無監督分類演算法中k均值（ k - means ）聚類演算法對輸入特徵向量進行分類。 -
The effect of divided attention on the composition of stm category clustering
分散注意對短時記憶范疇群集成分的影響 -
A method that combines category - based and keyword - based concepts for a better information retrieval system is introduced. to improve document clustering, a document similarity measure based on cosine vector and keywords frequency in documents is proposed, but also with an input ontology. the ontology is domain specific and includes a list of keywords organized by degree of importance to the categories of the ontology, and by means of semantic knowledge, the ontology can improve the effects of document similarity measure and feedback of information retrieval systems. two approaches to evaluating the performance of this similarity measure and the comparison with standard cosine vector similarity measure are also described
介紹了一種綜合各層級分類類目和對應關鍵詞來構造概念體系並用於改進信息檢索系統效果的方法.為了改進文本聚類的效果，提出了將領域知識本體和文本關鍵詞詞頻相結合的基於餘弦向量的文本相似性測度方法.該本體面向特定領域，將關鍵詞以不同權值對應于各分類類目，通過其語義知識來改進文本相似性測度以及信息檢索系統的效果.進一步給出了對基於本體的相似性測度方法進行效果評價的2種策略以及該方法與經典餘弦向量測度方法的比較結果 -
In the paper, the relationships are introduced between gases category, and content dissolved in transformer oil and the destroy degree and fault style. the author have a deep research on the method of grey clustering, and classify together about consanguineous samples when giving attention to the sample characteristics " complexity and illegibility, so the system can realize expectant aims on the bases of lesser information. the analysis of instances testifies that the implement of theory of grey clustering on fault diagnosis in transformer is effective and the calculation is convenient
針對目前電力變壓器故障診斷方法的現狀，特別是對結構復雜的大型電力變壓器等電氣設備的故障診斷，首要的問題是如何根據反映變壓器故障特徵量指標來正確判斷待診設備是哪一類故障，作者對灰色聚類方法原理進行詳細分析，在兼顧樣品特徵的復雜性和模糊性的基礎上，依據樣本一定的特徵因素，使兩樣本間關系比較密切、相似程度比較大的同屬一類，把一個不甚明確的整體信息不足的灰色系統盡可能地淡化、白化、量化、優化和模型化，以便能依據較少信息實現預期的目的。
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