نتایج جستجو برای: hodogram cross plot
تعداد نتایج: 519491 فیلتر نتایج به سال:
Our aim is to extend standard principal component analysis for non-time series data to explore and highlight the main structure of multiple sets of multivariate time series. To this end, standard variancecovariance matrices are generalized to lagged cross-autocorrelation matrices. The methodology produces principal component time series, which can be analysed in the usual way on a principal com...
این برنامه به منظور رسم: dose-response plot و محاسبهء ed 50 schildt plot و محاسبهء ke, pa2 همینطور ترسیم:linear plot semilogrithmic plot scatchard plot scatchard plot double reciprocal plot و محاسبهءmax[lr]kd نوشته شده است . کامپیوتر با سوالاتی که مطرح کرده و استفاده کننده به آنها پاسخ می دهد، به data های لازم برای انجام محاسبات و رسم منحنی های پی می برد. محاسبات بسیار سریع انجام می شود، طوری ک...
BACKGROUND The divergent glacial histories of southern and northern Europe affect present-day species diversity at coarse-grained scales in these two regions, but do these effects also penetrate to the more fine-grained scales of local communities? METHODOLOGY/PRINCIPAL FINDINGS We carried out a cross-scale analysis to address this question for vascular plants in two mountain regions, the Alp...
Humans, as social beings, are capable of employing various behavioral cues, such as gaze, speech, manual action, and body posture, in everyday communication. However, to extract finegrained interaction patterns in social contexts has been presented with methodological challenges. Cross-Recurrence Plot Quantification Analysis (CRQA) is an analysis method invented in theoretical physics and recen...
Collateral texts of different genre can describe the same filmed story, e.g. audio description and plot summaries. We deal with the challenge of cross-document coreference for events by matching verb attributes. Cross document coreference is the task of deciding whether two linguistic descriptions from different sources refer to the same event. This is important for reliable information integra...
Clustering is an important data exploration task. A prominent clustering algorithm is agglomerative hierarchical clustering. Roughly, in each iteration, it merges the closest pair of clusters. It was rst proposed way back in 1951, and since then there have been numerous mod-iications. Some of its good features are: a natural, simple, and non-parametric grouping of similar objects which is capab...
in order to find the most appropriate planting patter and cultivar of grain corn, an experiment was conducted in agriculture research station of jiroft and kahnooj, iran for two years in 2007 and 2008 as a split-plot experiment based on a randomized complete blocks design with three replications. the main plot was planting patter at four levels of normal planting (single-row on one furrow), dou...
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