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Search results for: cluster
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Year: 2015, Volume: 15, Number: 4
... practical way of determining the state of the power system cluster groups in the system. The proposed method is ... , but systems. A hybrid Calinski-Harabasz criterion and k-means clustering algorithm is developed for the determination of the practical ... RPR basins by using the Jacobian of the reactive power clusters before the application of the clustering algorithm; and ...
Year: 2021, Volume: 21, Number: 4
... normal. Some minor but allocate data to a specific cluster, without strict limitations identifiable anomalies are further labelled ... contributions and provide future research directions. Index Terms — clustering algorithms, data flow computing, entropy, intrusion ... anomalies are further labelled by the means of between the clusters [26], [44]. For ...
Year: 2017, Volume: 17, Number: 4
... in table 1. edge deletion operation. Moreover, cluster formation is same irrespective of the size of dataset ... 1 Abstract — Publicly accessible platform for social anonymization via clustering, graph modification approach, networking has gained special ... , the greedy graph partition of the entire dataset into clusters based on their modification approach tries to optimize data ...
Year: 2017, Volume: 17, Number: 4
... objective of k-means algorithm is represented by clusters. A cluster contains dataset records that have minimizing the intra-cluster variance ... , Number 4, 2017 Centroid Update Approach to K-Means Clustering Ioan-Daniel BORLEA, Radu-Emil PRECUP, Florin DRAGAN, ... I. INTRODUCTION learning algorithm that divides a dataset in clusters and it is Data mining is a domain that ...
Year: 2013, Volume: 13, Number: 3
... of both algorithms in terms of combination with a similarity-driven cluster merging processing time and sensitivity to point cloud method ... , the planar facts mentioned above, we present a clustering algorithm for surfaces are recognized from the segmentation results ... , lie on the same segment: the number of clusters beforehand and improper 1. n p and nq ...
Year: 2011, Volume: 11, Number: 1
... harmonic distortion (THDI) number of PCs in a cluster is growing. It has been explained dependence on ... invariant xCN. Different cases have been There are different clustering techniques applied for discussed for a single PC operation ... fact that they are usually concentrated in large groups (clusters). current total harmonic distortion (THDI) ...
Year: 2020, Volume: 20, Number: 2
... sub-cubes or prisms. The numbers of pixels in each cluster and cluster index or class label have been used ... distortion algorithm is also used in several process such as clustering in iterations, t must also be evaluated. ... average of pixel in the same cluster. Homogeneity of clusters are related to volume of sub-cubes pi  ni ...
Year: 2019, Volume: 19, Number: 3
... candidate tree clusters based on the feature data point in cluster Ctc, and the set E including the edges ... 1 Abstract — Urban trees are essential elements in outdoor clustering [10-13] have been proposed. Many studies ... feature subsets are chosen, and then the candidate tree clusters are selected via a binary classification. After distinguishing ...
Year: 2022, Volume: 22, Number: 3
... and class count queue (CCQ) to keep track cluster various logic elements of the user circuit based on ... Oxide Semiconductor (CMOS) process technology Index Terms — clustering algorithms, field programmable [9]. Despite ... 1shared group with a (TV-Pack [23]) clusters the corresponding LUTs and flip- degree of sharing ...
Year: 2020, Volume: 20, Number: 4
... been presented in complex way. Clustering-based approaches trust in cluster [12]. The proposed scheme can detect ... The IoV seems to play an important However, many clustering techniques and routing protocols role in developing the intelligent ... hazardous events and heads or leaders. Also, keeping clusters in consistent state notify neighboring vehicles to reduce traffic ...
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