clustering space 中文意思是什麼
clustering space
解釋
蜂團所佔脾數- clustering : 叢聚
- space : n 1 空間；太空。2 空隙，空地；場地；（火車輪船飛機中的）座位；餘地；篇幅。3 空白；間隔；距離。4 ...
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By using kernel functions, the data in the original space was mapped into a high - dimensional feature space, in which more features of the data were exposed so that clustering could be performed efficiently
核函數的非線性映射使得原始數據的特徵更完整地顯現出來，從而能夠更客觀準確地聚類。 -
This paper, on the basis of yuelu - mountain high - tech park in changsha city, beginning with the investigation of diversiform transit - trip in the park, firstly analyzes and evaluates space - time change law of traffic flow and situation of traffic service level on actual road net - work in the park ; secondly, applying multi - statistical analysis method, taking investigated corporation as sample, using annual freight traffic volume produced by unit plant area of the corporation, with clustering analysis, obtains four sorts of the sample corporation, and establishes the predict models of freight traffic volume for every kind of corporation. with these models, actual or planning year ’ s day maximum freight traffic volume can be predicted. the third, this paper makes analysis research of trip law of employees in the park, and obtains the index of trip times, trip modes and trip development trend of the employees
本文以長沙市嶽麓山高科技園區為依託，從調查園區內的各類交通出行開始，首先分析評價了園區內現狀道路網上的交通流時空變化規律及道路網上的交通服務水平狀況;其次是應用多元統計分析方法，以調查企業為樣品，以企業單位車間面積所產生的年貨運交通量為變量，通過聚類分析，獲得了樣本企業的四個類別，並建立了各類企業貨運交通量的預測模型，應用這些模型，可預測園區內現狀或規劃年的日最大貨運交通量;第三是對園區內企業員工的出行規律做了分析研究，獲得了企業員工的出行次數、出行方式及出行發展趨勢等等特性指標;最後是對園區內小區居民的出行狀況進行了分析，獲得了居民出行的諸如高峰時段、高峰出行量等等的特徵數據。 -
In connection with the difference and distribution characteristic of the samples in sample space rs based on dga, a new self - adapted weight fuzzy omean clustering model of fault diagnosis of the power transformer based on the potential function is proposed. meanwhile, from the aspect of geometry characteristic of fc - divided in s dimension sample space, a method is proposed for the purpose of getting an effective adjacent radius, adaptive cluster number c and original cluster center of x sample set. for the diagnosis sample x, the property measure and diagnosis rule are proposed, which under the condition of potential density function that determine c number of optimal fuzzy cluster p1
根據以變壓器dga數據為特徵量的樣本空間各樣本差異特性以及樣本在空間r ~ s的分佈特性，首次提出了基於勢函數自適應加權的變壓器絕緣故障診斷的模糊c -均值聚類模型；同時，從s維樣本空間的f ~ c -劃分幾何特性出發，提出了一種求取樣本集的類勢有效鄰域半徑和自適應求取聚類數和聚類中心初值的方法；對一個待診斷樣本，設計了基於類勢密度函數意義下的屬性測度和診斷準則。 -
Secondly, by studying the space - calibration, time - calibration and spot - track ' unite, the spot - track of multi - radar centralized - system be importantly discussed how to deal with and the tracking problem of multi - radar centralized - system be turned single radar multi - target tracking matter. in the spot - track ' unite, the clustering idear of mode - identify is used to settle the problem and the calculation load is be reduced
從空間校準、時間校準和點跡合併三方面，對集中式多雷達系統的點跡處理進行了重點研究；通過點跡處理將集中式多雷達系統的跟蹤轉換為單雷達多目標跟蹤問題。 -
The document space is generally of high dimensionality and clustering in such a high dimensional space is often infeasible due to the curse of dimensionality. so the primary step in document clustering is to project the document into a lower - rank semantic space in which the documents related to the same semantics are close to each other
基於文本空間的文本聚類因為其具有高維的特徵而不容易直接實現，所以文本聚類的首要步驟就是將文本空間的數據投影到較低維的語義空間里，使在文本空間里相鄰的數據向量在語義空間里根據某些提取的特徵參數而相似。 -
Different from previous document clustering method based on nmf, our methods try to discover both the geometric and discriminating structures of the document space in an unsupervised manner, companied with high accuracy in acceptable computationally expensive
與基於nmf演算法的文本聚類不同，我們的演算法力求以無監督的方式，在時間復雜度允許的范圍內，找到更適合於分類操作的數據向量間的幾何局部特徵向量及相應的各文檔的編碼向量。 -
An adaptive space subdivision method based on clustering is proposed, which completes space subdivision through two steps : first the objects are classified through a new local - density based clustering algorithm, then the space is subdivided according to the clustering
該方法由兩個部分構成，首先，通過一個基於局部密度的聚類演算法對物體進行聚類；然後，根據聚類結果，通過簡化分割方法實現空間分割。 -
This paper discusses the application of the characteristic that the fuzzy equivalent relationship equates the normalized distance of the x quotient space in the theoretical model of fuzzy quotient space, and advances the algorithm of text clustering in the fuzzy quotient space
討論了在模糊商空間理論模型中模糊等價關系與x商空間的歸一化距離等同這一特徵在文本聚類搜索中的應用，並提出了模糊商空間下文本聚類的演算法。 -
This paper presents a method of analyzing stocks by fuzzy core clustering in character space formed by techno - index
摘要提出採用技術指標構造特徵空間，在特徵空間上用模糊核聚類演算法尋找股市規律的股市技術分析方法。 -
As jeff and i further discussed clustering in geronimo, he pointed clearly at the wadi project and identified its unique features, and how he hopes those features will allow geronimo to play in the commercial space
當jeff和我進一步討論geronimo中的集群時，他清楚地指出了wadi項目和它的獨特特性，以及他希望這些特性會如何允許geronimo在商業環境中發揮作用。 -
Different sections of image have different textures, and different laws features obtained from wavelet transformation form a feature space. the points in the feature space are clustered to form different regions according to k - mean value clustering method, and then the regions are mapped to original image space to get the result of image segmentation
利用圖象中不同的部分具有不同的紋理特徵，採用小波變換的多尺度特性以獲取多尺度、多方向上的紋理能量特徵組成特徵空間，利用k -均值聚類方法將特徵空間的點聚類成團，然後再將它們映射回原圖象空間得到圖象分割的結果。 -
Through discussing such core technologies in the automatic processing of chinese information as automatic word segmentation, feature selecting and automatic representation of texts, the thesis makes some improvements and perfection on the current methods of automatic word segmentation and text space reduction of chinese texts, therefore improved their efficiencies and effects. with regard to the methods of text classification, the paper introduced two supervisory automatic classification methods of chinese texts based on multi - classification, i. e. fuzzy clustering and boosting, which settled the problem of low percentage of recall. through comparing the results of experiments with the two methods, an automatic classification system of multi - classification texts is constructed based on the boosting method, which received good effects in application and provides a good resolution to the problem of real - time classification of information
通過對漢語信息自動處理中自動分詞、特徵提取、文本自動表示等核心技術討論，對目前漢語文本自動分詞和文本降維方法中的不足和缺陷作了改進，提高了分詞和文本分類的效率和效果；在文本自動分類方法上，介紹了兩種有監督的基於多類的漢語文本自動分類處理方法? ?模糊聚類方法和boosting方法，解決了實踐中文本分類查全率不高的問題；通過對兩種方法的實驗比較結果，構建了基於boosting方法的多類文本自動分類系統，在實際應用中收到了良好的效果，較好的解決了信息的實時分類問題。 -
Focused on the issue of knowledge sharing in organization knowledge management, a knowledge map model used knowledge space triple ( knowledge, property, relation ) as context is presented, and a concept clustering model and algorithm of knowledge map is given to build knowledge map and the hasse diagram
在概念聚類構造的知識地圖中，知識按其屬性自動聚類成知識節點，它描述了知識及共屬性和關系，並將知識節點以偏序關系排列起來。 -
This paper researches and discusses the theory of latent semantic index, include the theory of single value decompose and word - document matrix. in this paper the author discusses the application of latent semantic index in chinese document clustering based on latent semantic index, researches and discusses vector space model, latent semantic index, electronic dictionary, word - splitting and the algorithm of k - means. this paper presents a improved structure of electronic dictionary and a improved algorithm of word - spliting
本文對潛在語義索引模型進行系統的研究和探討，包括奇異值分解等相關矩陣理論、詞-文檔矩陣等；同時本文研究和探討了潛在語義索引模型在中文文本聚類中的具體應用和實現，包括文本間相似度的度量、詞-文檔矩陣、奇異值分解的具體實現；同時本文對中文文本聚類所涉及的其他一些中文處理技術，包括向量空間模型、電子字典、切詞、 k - means聚類演算法等也進行了研究和探討。 -
Firstly, the paper introduces the main theoretics and technologies of the web information retrieval. then it applies the spider to realize the information gathering. according to characteristic of uighur language, using uighur stemming based on table searching regular and arithmetic of the combined mode, uighur text segmentation is realized ; using vector space model, the paper switches uighur text information into structured data ; and appling clustering analytical method, these structured text is clustered
本文首先分析了web信息檢索的主要理論基礎和關鍵技術，然後利用spider信息採集技術，實現了信息檢索的源信息採集;根據維吾爾語詞的特點，利用詞干表查找的維文詞干提取演算法和結合模式的維文詞語組合演算法，對維文網頁文本進行詞特徵表示;採用向量空間模型實現文本信息的結構化表達;使用聚類分析法，對結構化文本信息進行聚類，得到文本分類結果。 -
A research of document clustering algorithm based on vector space model
基於向量空間模型的文本檢索系統 -
To solve the problem of exponential space in the instruction - set automated design for the application specific instruction set processor ( asip ), a formular clustering integer linear programming model ( cim ) is proposed, which can decrease the exploration space effectively utilizing function dependencies between instructions
摘要提出集束式整數線性規劃形式化模型，利用指令間的功能依賴性解決專用指令集處理器中指令集自動定製的指數性空間問題。 -
I did a little research on wadi to understand where it plays in the clustering space and found out that it used to be concerned mainly with web application distributed state management
我對wadi做了些研究，以便理解它在集群中的什麼地方發揮作用，結果發現它主要用來處理web應用程序的分散式狀態管理。 -
It uses hownet to build the chinese concept dictionary and concept hierarchy, and then maps the text feature to the concept space by concept disambiguation and concept mapping techniques, and apply an improved k - mediod method in text clustering analysis
利用知網資源構建中文概念詞典和概念層次結構，然後通過概念消歧、概念映射等步驟將文本特徵映射到概念空間，並應用一種改進的k中心點演算法完成文檔的聚類分析。 -
After the discussion of several kinds of optimum threshold segmentation methods, a multi - feature vector space and three new criteria ( global comparison detection, geography priority privilege, equal opportunity for competence ) are developed for region growing control, a new region growing method is brought forward. at last the region splitting and merging, region clustering, neural networks, snake active contour model et al have been discussed
提出了全局比較探測、面積測定及空間優先、競爭機會均等三個有效的準則，利用灰度、紋理多特徵矢量改進了傳統的區域增長演算法，並對紋理分析，神經網路分割和snake活動輪廓分割進行了有益的探索。
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