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Efficiency of k means algorithm in data mining and other clustering algorithm

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Efficiency of k means algorithm in data mining and other clustering algorithm

20121222Improving the Efficiency and Efficacy of the Kmeans Clustering Algorithm Through a New Convergence Condition Joaqun Prez O1, Rodolfo Pazos R1, Laura

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  • A Mid Point based kmean Clustering Algorithm for

    A Mid Point based kmean Clustering Algorithm for

    201518the KMeans clustering algorithm This paper deals with a method for improving the accuracy and efficiency of the kmeans algorithm II ORIGINAL KMEANS ALGORITHM This section describes the original kmeans clustering algorithm The idea is to classify a given set of data into k number of disjoint clusters, where the value of k is fixed in

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  • A New Efficient Approach towards kmeans Clustering

    A New Efficient Approach towards kmeans Clustering

    201755single universal clustering algorithm that can handle all the issues related to it [9] With regard to the problem of partitioning N objects into k classes, to get the best clustering is a NPhard problem It is a wellknown fact that the standard kmeans algorithm gets easily trapped in a local minimum

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  • A Revised and efficient Kmeans Clustering Algorith

    A Revised and efficient Kmeans Clustering Algorith

    201919data mining Clustering is an important data mining algorithm for grouping the records and analyzing the data Kmeans is a most used Clustering algorithm, but the time taken to cluster large volume of records is high To reduce the clustering time many approaches are proposed in literature

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  • An effective partitional clustering algorithm base

    An effective partitional clustering algorithm base

    In this section, an improved Kmeans clustering algorithm based on density parameters for selecting initial clustering centers is firstly proposed Then, VCVI, a new variance based clustering validity index that from the point of view of spatial distribution of datasets, is defined

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  • An efficient k means clustering filtering algorith

    An efficient k means clustering filtering algorith

    kmeans is a preeminent partitional based clustering method that finds k clusters from the given dataset by puting distances from each point to k cluster centers iteratively The filtering algorithm improves the performance of kmeans by imposing an index structure on the dataset and reduces the number of cluster centers searched while finding the nearest center of a point

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  • An Efficient kMeans Clustering Algorithm Using Sim

    An Efficient kMeans Clustering Algorithm Using Sim

    2007914AN EFFICIENT kMEANS CLUSTERING ALGORITHM 1159 1 Choose the number of clusters k and input a dataset of n patterns X = {x 1, , x n} Randomly select the initial candidates for k cluster centers matrix V0 from the data set 2 Assign each pattern to the nearest cluster using a distance measure

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  • Application of KMeans Algorithm for Efficient Cust

    Application of KMeans Algorithm for Efficient Cust

    20181219but differ considerably from data points of other clusters Clustering has got immense applications in pattern recognition, image analysis, bioinformatics and so on In this paper, the kMeans clustering algorithm has been applied in customer segmentation A MATLAB program Appendix of the kMeans algorithm was developed, and the training was

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  • Clustering and Classifying Diabetic Data Sets Usin

    Clustering and Classifying Diabetic Data Sets Usin

    The most attractive property of the kmeans algorithm in data mining is its efficiency in clustering large data sets Classification is a data mining technique used to predict group membership for data instances The classification is done using this algorithm and successfully classified the data set into two class labels namely testedpositive and

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  • Combination of Kmeans clustering with Genetic

    Combination of Kmeans clustering with Genetic

    201812been carried out on KMeans bine with genetic algorithm for clustering of using this bine technique; to focuses on studying the efficiency and effectiveness of most article The basic aim of this article is to gather a plete and detailed summary and a clear well explained idea of various methods and algorithms

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  • Comparative Analysis of KMeans and Fuzzy CMeans

    Comparative Analysis of KMeans and Fuzzy CMeans

    20181215Comparative Analysis of KMeans and Fuzzy CMeans Algorithms Soumi Ghosh Department of Computer Science and Engineering, performance of data clustering algorithm is generally considered as much poorer Although data classification is dimensional space [12] As in the other clustering algorithms, k means requires that a distance metric

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  • Efficiency of kMeans and KMedoids Algorithms for

    Efficiency of kMeans and KMedoids Algorithms for

    201523Means algorithm can be run multiple times to reduce 21 The kMeans Algorithm The kMeans is one of the simplest unsupervised learning algorithms that solve the wellknown clustering problem The procedure follows a simple and easy way to classify a given data set through a certain number of clusters assume k clusters fixed a priori [10, 11]

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  • Efficiency of KMeans Clustering Algorithm in Minin

    Efficiency of KMeans Clustering Algorithm in Minin

    201533ABSTRACT This paper presents the performance of kmeans clustering algorithm, depending upon various mean values input methods Clustering plays a vital role in data mining Its main job is to group the similar data together based on the characteristic they possess The mean values are the centroids of the specified number of cluster groups

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  • EFFICIENT KMEANS CLUSTERING ALGORITHM USING

    EFFICIENT KMEANS CLUSTERING ALGORITHM USING

    2013825V STEPS OF KMEANS CLUSTERING ALGORITHM KMeans Clustering algorithm is an idea, in which there is need to classify the given data set into K clusters, the value of K Number of clusters is defined by the user which is fixed In this first the centroid of each cluster is selected for clustering and then according to the chosen centriod,

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  • Factors Affecting Efficiency of Kmeans Algorithm I

    Factors Affecting Efficiency of Kmeans Algorithm I

    2013515Kmeans algorithm is a simple technique that partitions a dataset into groups of sensible patterns It is well known for clustering large datasets and generating effective results that are used in a variety of scientific applications such as Data Mining, knowledge discovery, data pression,

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  • Improvement of K Mean Clustering Algorithm Based o

    Improvement of K Mean Clustering Algorithm Based o

    20181011Kmeans clustering algorithm is a classical classification clustering algorithm, and it is also an iterative clustering algorithm In the course of iteration, the cluster center is moved continuously until the clustering criterion function converges The basic idea of Kmeans clustering algorithm in the data set: select k data objects randomly

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  • Kmeans clustering IPFS

    Kmeans clustering IPFS

    kmeans clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining kmeans clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster

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  • New big data clustering algorithm with high accura

    New big data clustering algorithm with high accura

    Prof Lees team is developing scalable data mining machine learning algorithms in support of big data The kmedoids algorithm is one of the bestknown clustering algorithms Many data mining textbooks introduce it after the kmeans algorithm because both algorithms use the notion of representatives

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  • Normalization based K means Clustering Algorithm a

    Normalization based K means Clustering Algorithm a

    201534Normalization based K means Clustering Algorithm Deepali Virmani1,Shweta Taneja2,Geetika Malhotra3 1Department of Computer Science,Bhagwan Parshuram Institute of Technology,New Delhi Email:deepalivirmani@gmail 2Department of Computer Science,Bhagwan Parshuram Institute of Technology,New Delhi

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  • PDF Improving the Accuracy and Efficiency of the K

    PDF Improving the Accuracy and Efficiency of the K

    Proceedings of the World Congress on Engineering 2009 Vol I WCE 2009, July 1 3, 2009, London, UK Improving the Accuracy and Efficiency of the kmeans Clustering Algorithm K A Abdul Nazeer, M P Sebastian AbstractEmergence of modern techniques for scientific data for improving the accuracy and efficiency of the kmeans collection has resulted in large scale accumulation of data per

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