Temporal clustering
Spatial–temporal clustering of tornadoes
... spatial–temporal clustering of severe tornadoes, which we define as having path lengths L ≥ 10 ...spatial–temporal clustering analysis developed for ...the temporal lag (time between ...
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Observing spatio-temporal clustering and separation using interevent distributions of regional earthquakes
... spatio-temporal clustering of earth- ...spatio-temporal clustering is a well-established phenomenon in seismicity (Utsu and Ogata, 1995; Kagan and Knopoff, 1980) and must therefore manifest ...
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Temporal clustering of the seismicity of the Absheron-Prebalkhan region in the Caspian Sea area
... the clustering behavior was analyzed by us- ing the CV, which shows Poissonian alternated with cluster- ized ...the temporal clustering was detected in the seismic sequence analyzed in this paper ...
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Spatial and temporal clustering of fault events on the GB transmission network
... This paper has looked at the past occurrence of various types of weather-related faults, in an attempt to establish patterns with a view to providing a broad assessment on how climate change may affect faults on the GB ...
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Temporal clustering of neuroblastic tumours in children and young adults from Northern England
... the temporal incidence of neuroblastic tumours is related to exposure to an irregularly temporally varying environmental agent occurring close to diagnosis or at similar times before ...to temporal deficits ...
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Regional and global variations in the temporal clustering of tectonic tremor activity
... The temporal distribution of tremor activity exhibits a highly non-Poissonian behavior, and its maximum period of non-Poissonian clustering statistically describes the recurrence interval of major tremor ...
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Recognizing spatial and temporal clustering patterns of dengue outbreaks in Taiwan
... Accurately recognizing geographical discrepancies and heterogeneity in dengue incidence patterns and detect- ing the geographical areas in which the exposure to en- vironmental or viral agents may be responsible for ...
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Skin sympathetic nerve activity and the temporal clustering of cardiac arrhythmias
... electrophysiology is strongly modulated by the autonomic nervous system (ANS) (6, 7), it is reasonable to hypothesize that ANS activation plays a major role in arrhythmic clustering. However, it is difficult to ...
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Duodenal Microflora in Very Low Birth Weight Neonates and Relation to Necrotizing Enterocolitis
... with gram-negative bacteria increased with postnatal age, while the percentage of sterile samples declined. Molecular typing revealed marked temporal clustering of indistinguishable strains. All infants had ...
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Sentiment Clustering with Topic and Temporal Information from Large Email Dataset
... sentiment clustering are under- taken using DBSCAN algorithm that requires two parameters minP ts and ...sentiment clustering results are to be displayed in the following ...a temporal ...
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Online Full Text
... Abstract—Spatio-temporal clustering is a subfield of data mining that is increasingly gaining more scientific attention due to the advances of location-based devices that register position, time and, in ...
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Spatio Temporal Analysis of Moving Objects in Supply Chain Networks using Semantic Clustering
... During the grouping process the objects that don’t fall in any of the groups need to be treated accordingly. These partial objects can be grouped using Fuzzy Clustering technique. The analysis will be very much ...
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Time-clustering investigation of fire temporal fluctuations in Portugal
... Abstract. Temporal clustering structures were identified and quantified in fire sequences recorded from 1980 to 2005 in Continental Portugal, by using the Allan Factor statistics, a statistical tool suited ...
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Identifying Temporal Trends Based on Perplexity and Clustering: Are We Looking at Language Change?
... The perplexities calculated by document- specific language models correlate moderately with time differences. Performing K-Means with K=7 based on perplexity measures proved to be a good method for grouping documents ...
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Encoding wide field motion and direction in the central complex of the cockroach Blaberus discoidalis
... The diversity of responses seen here and in other studies suggests a convergence of sensory inputs, supported by the anatomy of the region (Strausfeld, 1999). It is likely that many of the motion responses we report are ...
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Identifying the Evolving Communities in Dynamic Networks
... Evolutionary clustering is a recent framework for clustering dynamic multimodal networks introducing temporal smoothness concept inside the community structure ...based clustering approaches ...
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Kleinberg’s Hyper Richness Based Fuzzy Partition Clustering for Efficient Bi Temporal Data
... the clustering techniques are used for bitemporal relational data ...various clustering technique is presented such as the density-based technique, partitioning techniques, Hierarchical techniques, ...
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COLOR DATA CLUSTERING ALGORITHMS (CDCA) USING SPATIAL TEMPORAL DATA MINING.
... Color mining of images based on clustering. A metadata base may be used to shorten query resolution time by trying to limit the number of images being thoroughly analyzed to a smaller subset, having a high ...
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SPATIO TEMPORAL FEATURE EXTRACTION WITH VISUAL CONTENT CLUSTER AND VP-TREE INDEXING FOR VIDEO RETRIEVAL
... Video Retrieval performance was enhanced in [15] where the classification of Video Database was accomplished using multiple frames based on texture information. However, spatio temporal feature extraction was not ...
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Extraction Of Rice Cropping Activities Using Multi-Temporal Ndvi Data And Isodata Clustering-A Case Study Of Raichur District, Karnataka, India.
... using temporal information is to extract the information on different ...Multi- temporal data and classification ...of temporal images and image processing techniques in dynamic attributes like ...
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