Search Results - (( pattern clustering algorithm ) OR ((( patterns new algorithm ) OR ( patterns bees algorithm ))))
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1
Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm
Published 2015“…This study aims at analyzing EEG signals for the purpose of clustering natural language morphemes using the Artificial Bee Colony (ABC) algorithm. …”
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Proceeding Paper -
2
Fast and Accuracy Control Chart Pattern Recognition using a New cluster-k-Nearest Neighbor
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Citation Index Journal -
3
Fast and Accuracy Control Chart Pattern Recognition using a New cluster-k-Nearest Neighbor
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Citation Index Journal -
4
Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm
Published 2015“…This study aims at analyzing EEG signals for the purpose of clustering natural language morphemes using the Artificial Bee Colony (ABC) algorithm. …”
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Book Chapter -
5
MINING CUSTOMER DATA FOR DECISION MAKING USING NEW HYBRID CLASSIFICATION ALGORITHM
Published 2011“…In this paper we proposed an algorithm for mining patterns of huge stock data to predict factors affecting the sale of products. …”
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Citation Index Journal -
6
MINING CUSTOMER DATA FOR DECISION MAKING USING NEW HYBRID CLASSIFICATION ALGORITHM
Published 2011“…In this paper we proposed an algorithm for mining patterns of huge stock data to predict factors affecting the sale of products. …”
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Citation Index Journal -
7
A numerical method for frequent pattern mining
Published 2009“…There are two new properties introduced in this method; a novel tree structure called PC_Tree and PC_Miner algorithm. …”
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Article -
8
Clustering Spatial Data Using a Kernel-Based Algorithm
Published 2005“…Therefore, this work comes up with new clustering algorithm using kernel-based methods for effective and efficient data analysis by exploring structures in the data.…”
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Conference or Workshop Item -
9
Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman
Published 2013“…The idea was incorporated into a new algorithm called, k-Approximate Modal Haplotypes (&-AMH) algorithm. …”
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Thesis -
10
An efficient fuzzy C-least median clustering algorithm
Published 2021“…In this paper we are discussing our new procedure for clustering called Fuzzy C-least median of squares algorithm which is an improvement to Fuzzy C-means (FCM) algorithm. …”
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Article -
11
USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING
Published 2010“…Based on the new representation, the documents are then subjected to the clustering algorithm itself, which is Fuzzy c-Means algorithm. …”
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Thesis -
12
Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier
Published 2018“…In conclusion, the 1D-LBP algorithm is performance well with K-NN classifier.…”
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Monograph -
13
Application of Optimization Methods for Solving Clustering and Classification Problems
Published 2011“…The data vectors are assigned to the closest cluster and correspondingly to the set, which contains this cluster and an algorithm based on a derivative-free method is applied to the solution of this problem. …”
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Thesis -
14
High performance in minimizing of term-document matrix representation for document clustering
Published 2009“…By using various numbers of patterns (rank) of SVD, the proposed method is applied to cluster documents using the Fuzzy C-Means algorithm. …”
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Conference or Workshop Item -
15
Intelligent road recognition system for automous vehicle
Published 2013“…The image features are extracted using simple image processing algorithms and are trained using artificial neural network (ANN). …”
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Thesis -
16
A Novel Soft Set Approach in Selecting Clustering Attribute
Published 2012“…Furthermore, we use it to select a clustering attribute for categorical datasets and a heuristic algorithm is presented. …”
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Article -
17
Deterministic and stochastic inventory routing problems with backorders using artificial bee colony / Huda Zuhrah Ab Halim
Published 2019“…The inventory holding cost is assumed to be product specific and only incurred at the assembly plant. An Artificial Bee Colony (ABC) algorithm is proposed for the problem. …”
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Thesis -
18
A green clustering protocol for mobile sensor network using particle swarm optimization
Published 2016“…We also take into account the mobility factor when defining the cluster membership, so that the sensor nodes can join the cluster that has the similar mobility pattern. …”
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Article -
19
A green clustering protocol for mobile sensor network using particle swarm optimization
Published 2016“…We also take into account the mobility factor when defining the cluster membership, so that the sensor nodes can join the cluster that has the similar mobility pattern. …”
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Article -
20
Case study : an effect of noise in character recognition system using neural network
Published 2003“…These problems may be characterized as mapping(including pattern association and pattern classification), clustering and constrained optimization. …”
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Thesis