Search Results - (( based application amh algorithm ) OR ( _ verification clustering algorithm ))

Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman by Seman, Ali

“…The idea was incorporated into a new algorithm called, k-Approximate Modal Haplotypes (&-AMH) algorithm. …”
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Modified spectral clustering algorithm for semisupervised face annotation modeling by Sheng, Gao You

“…This research addresses this via semi-supervised learning, using semi-supervised clustering to expand datasets with limited labeled samples. …”
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Parameter estimation and outlier detection for some types of circular model / Siti Zanariah binti Satari by Satari, Siti Zanariah

“…Here, we introduce a measure of similarity based on the circular distance and obtain a cluster tree using the single linkage clustering algorithm. …”
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Cooperative heterogeneous vehicular clustering for road traffic management / Iftikhar Ahmad by Iftikhar , Ahmad

“…This implementation increases the level of synchronization of CMs with a cluster head, thereby increasing cluster stability. …”
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Detecting sybil attacks in clustered wireless sensor networks based on energy trust system (ETS) by Alsaedi, Noor, Hashim, Fazirulhisyam, Sali, Aduwati, Rokhani, Fakhrul Zaman

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Using Bimodal Gaussian Mixture Model-Based Algorithm for Background Segmentation in Thermal Fever Mass Screening by Siti Sofiah, Mohd Radzi, Kamarul Hawari, Ghazali, Nazriyah, Che Zan, Faradila, Naim

“…To estimate the bi - modal background-foreground distribution mixture parameters, Expectation-Maximization (EM) algorithm is applied and the images are clustered statistically and linearly. …”
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A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition by Babiker, Elsadig Ahmed Mohamed

“…A vector quantization model that incorporate rough sets attribute reduction and rules generation with a modified version of the K-means clustering algorithm was developed, implemented and tested as a part of a speech recognition framework, in which the Learning Vector Quantization (LVQ) neural network model was used in the pattern matching stage. …”
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Implementation of Hybrid Indexing, Clustering and Classification Methods to Enhance Rural Development Programme in South Sulawesi by Muhammad, Faisal

“…The Fuzzy Tsukamoto and Smallest of Maximum methods were then used to classify villages into less development, which involved CSLI-Clusters as indicators. Using the cosine similarity algorithm for knowledge recommendation is village identified, utilizing community feedback as the foundation. …”
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An ensemble of neural network and modified grey wolf optimizer for stock prediction by Das, Debashish

“…This update process may cause the algorithm to fall to local optima especially in the cases where there are many competing local optima. …”
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Bottleneck-based heuristic for permutation flowshop scheduling by Isa, Noor Amira

“…The heuristic evaluation result showed that the BNB heuristic is performing better than the NEH at bottleneck machines M1, M3 and M4. While, heuristic verification result showed that the bottleneck algorithms performed the best in minimizing the makespan for set of problems with bottleneck machine M4. …”
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Development of submergence tolerant rice variety through marker-assisted backcross breeding between MR219 and Swarna-Sub1 by Ahmed, Fahim

“…The UPGMA (The Un-weighted Pair Group Method with Arithmetic Means) algorithm and SAHN clustering were applied to determine genetic relationships among the genotypes. …”
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