本文選題：簽到位置數(shù)據(jù)　切入點(diǎn)：活動(dòng)熱區(qū)　出處：《測(cè)繪學(xué)報(bào)》2017年04期 　論文類(lèi)型：期刊論文

【摘要】：位置簽到數(shù)據(jù)蘊(yùn)含了城市居民活動(dòng)變化。由于客戶端位置候選問(wèn)題,不同的簽到行為以同一候選位置簽到時(shí)會(huì)產(chǎn)生位置重復(fù)現(xiàn)象。針對(duì)現(xiàn)有密度聚類(lèi)方法在簽到數(shù)據(jù)聚類(lèi)上存在的問(wèn)題,以快速搜索和查找密度峰值聚類(lèi)算法(CFSFDP)為基礎(chǔ),提出了簽到位置數(shù)據(jù)的密度峰值快速搜索與聚類(lèi)方法。首先,引入位置重復(fù)頻率來(lái)表達(dá)簽到位置重復(fù),然后,對(duì)原始簽到位置數(shù)據(jù)點(diǎn)統(tǒng)計(jì)位置重復(fù)頻率并重新設(shè)計(jì)數(shù)據(jù)結(jié)構(gòu),以新的空間點(diǎn)要素為研究對(duì)象尋找密度峰值點(diǎn);最后,構(gòu)建了峰值點(diǎn)密度簇聚類(lèi)算法,在點(diǎn)要素集聚類(lèi)過(guò)程中考慮密度連通性來(lái)保證峰值密度簇的連續(xù)與完整。試驗(yàn)表明,所提出的聚類(lèi)方法有效避免了重復(fù)度較高的離群位置對(duì)象選為峰值并聚類(lèi)的情況,并具有良好的空間適應(yīng)性。所提取的密度峰值點(diǎn)不僅可以用來(lái)表示熱區(qū)的中心,還能夠反映熱區(qū)的集中趨勢(shì),進(jìn)而可以幫助探索熱區(qū)的動(dòng)態(tài)變化情況。
[Abstract]:Your location data contains changes in city residents. Because the client position candidate problem, sign different behaviors in the same position in the candidate will have to repeat position phenomenon. In view of the existing density clustering method in attendance data clustering on the issue, to quickly search and find the peak density clustering algorithm (CFSFDP) as the foundation, proposed the peak density sign position data fast search and clustering method. Firstly, then introduce the position of repetition to express the original position, repeat sign, sign position data statistic position of repetition frequency and re design of data structure, find the density peak with elements of the new space as the research object; finally, construct the peak point density cluster clustering algorithm in clustering process considering the point density connectivity to ensure the continuity and integrity of the peak density cluster. Experiments show that the proposed poly Such method can effectively avoid the outlier location object high degree of duplication for peak and clustering, and has good adaptability. The extracted spatial density peak not only can be used to express the zone center, the central tendency can reflect the dynamic changes of hotspots, and can help to explore the hot spot.

【作者單位】： 福州大學(xué)福建省空間信息工程研究中心空間數(shù)據(jù)挖掘與信息共享教育部重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金(41471333)~~
【分類(lèi)號(hào)】：P208;TP311.13

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1 劉文寶;礦圖手工數(shù)字化位置數(shù)據(jù)系統(tǒng)誤差的控制[J];煤炭學(xué)報(bào);1998年04期

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