Low-energy adaptive clustering hierarchy ("LEACH") is a TDMA-based MAC protocol which is integrated with clustering and a simple routing protocol in wireless...
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automobile manufacturer of the Leach steamer from 1899 to 1901 Low-energy adaptive clustering hierarchy (LEACH), a routing protocol in wireless sensor networks...
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Hierarchical clustering Single-linkage clustering Conceptual clustering Cluster analysis BIRCH DBSCAN Expectation–maximization (EM) Fuzzy clustering Hierarchical...
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forwarded towards the sink. Also, Low Energy Adaptive Clustering Hierarchy (LEACH) protocol for WSNs has been adapted to LEACH-M (LEACH-Mobile), for MWSNs...
14 KB (1,830 words) - 16:33, 2 June 2022
Unsupervised learning (section Energy)
as follows: Clustering methods include: hierarchical clustering, k-means, mixture models, model-based clustering, DBSCAN, and OPTICS algorithm Anomaly detection...
31 KB (2,770 words) - 17:17, 16 July 2025
Topology control (section Hierarchical)
based: COMPOW CDS-based: A3, EECDS, CDS-Rule K Cluster-based: Low Energy Adaptive Clustering Hierarchy (LEACH), HEED Full power network topology Reduced...
10 KB (1,164 words) - 22:12, 25 November 2024
Genetic algorithm (redirect from Adaptive genetic algorithms)
example of improving convergence. In CAGA (clustering-based adaptive genetic algorithm), through the use of clustering analysis to judge the optimization states...
69 KB (8,221 words) - 21:33, 24 May 2025
medoids as centers KHOPCA clustering algorithm: a local clustering algorithm, which produces hierarchical multi-hop clusters in static and mobile environments...
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Self-organizing map (redirect from Time adaptive self-organizing map)
and its variants have been used in several applications including adaptive clustering, multilevel thresholding, input space approximation, and active contour...
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Developing country (redirect from Low income countries)
outdated, suggesting a hierarchy and not accurately reflecting the diverse realities of the encompassed countries. This term includes 135 low- or middle-income...
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standard has been standardized in 2011 that make use of adaptive link rate technique for energy efficiency. Moreover, fat tree and DCell architectures...
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Deep learning (redirect from Hierarchy (thinking))
that artistic sensitivity might be inherent in relatively low levels of the cognitive hierarchy, a published series of graphic representations of the internal...
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For example, some carpenter bees will form colonies when a dominant hierarchy is formed between two or more nest foundresses (facultative colony), while...
17 KB (1,975 words) - 21:51, 24 May 2025
Recurrent neural network (redirect from Hierarchical recurrent neural network)
Rainer W.; Tani, Jun (2005-09-01). "How Hierarchical Control Self-organizes in Artificial Adaptive Systems". Adaptive Behavior. 13 (3): 211–225. doi:10...
90 KB (10,416 words) - 14:06, 20 July 2025
Machine learning (redirect from Adaptive machine learning)
various forms of clustering. Manifold learning algorithms attempt to do so under the constraint that the learned representation is low-dimensional. Sparse...
140 KB (15,562 words) - 00:52, 24 July 2025
LPDDR (redirect from Low Power DDR)
and consuming around 40 percent less energy at 1.1 volts. On 25 August 2014, JEDEC published the JESD209-4 LPDDR4 Low Power Memory Device Standard. Significant...
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when not in use. Wireless sensor networks are composed of low-energy, small-size, and low-range unattended sensor nodes. Recently, it has been observed...
54 KB (6,458 words) - 20:13, 9 July 2025
"low energy houses". These buildings produce energy onsite using renewable technology like solar and wind, while reducing the overall use of energy with...
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iteration technique. Force-directed algorithms, when combined with a graph clustering approach, can draw graphs of millions of nodes. Poor local minima It is...
17 KB (2,224 words) - 15:07, 9 June 2025
producing the heliopause at 110 to 160 AU. The heliopause deflects away low-energy galactic cosmic rays, and its distance and strength varies depending on...
148 KB (14,522 words) - 15:11, 10 July 2025
involve information feedback loops. Complex adaptive systems are special cases of complex systems that are adaptive in that they have the capacity to change...
48 KB (4,941 words) - 01:56, 15 June 2025
K-means Clustering" (PDF). Neural Information Processing Systems Vol.14 (NIPS 2001): 1057–1064. Chris Ding; Xiaofeng He (July 2004). "K-means Clustering via...
117 KB (14,851 words) - 14:54, 21 July 2025
Markov chain Monte Carlo (redirect from Markov clustering)
too many rejections. Adaptive MCMC methods modify proposal distributions based on the chain's past samples. For instance, adaptive metropolis algorithm...
63 KB (8,546 words) - 20:30, 27 July 2025
K-distribution K-means algorithm – redirects to k-means clustering K-means++ K-medians clustering K-medoids K-statistic Kalman filter Kaplan–Meier estimator...
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perceptrons did not have adaptive hidden units. However, Joseph (1960) also discussed multilayer perceptrons with an adaptive hidden layer. Rosenblatt...
168 KB (17,613 words) - 12:10, 26 July 2025
the majority of Zerg species have low intelligence, becoming mindless beasts if not connected to a "hive-cluster" or a "command entity". As with the...
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kinetic energy of the noninteracting system. As usual in many-body electronic structure calculations, the nuclei of the treated molecules or clusters are...
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Image segmentation (section Clustering methods)
histogram thresholding, Otsu's method (maximum variance), and k-means clustering. Recently, methods have been developed for thresholding computed tomography...
75 KB (9,682 words) - 23:03, 19 June 2025
Large language model (section Energy demands)
Van; Louizos, Christos; Blankevoort, Tijmen (2020-11-21). "Up or Down? Adaptive Rounding for Post-Training Quantization". Proceedings of the 37th International...
134 KB (14,141 words) - 03:00, 28 July 2025
Acidithiobacillus ferrooxidans is a chemolithoautotrophic (uses inorganic chemicals for energy and makes its own organic molecules from carbon dioxide), non-spore forming...
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