[PDF] Top 20 A Novel Clustering Algorithm Using K means (CUK)
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A Novel Clustering Algorithm Using K means (CUK)
... of clustering is to group similar objects together so each group becomes ...good clustering method will produce high quality clusters with high intra-cluster similarity and low inter-cluster ...a ... See full document
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An Efficient Global K-means Clustering Algorithm
... new algorithm can significantly reduce the computational time without affecting the performance of the global K- means ...global K-means algorithm outperforms the global ... See full document
9
Clustering for binary data sets by using genetic algorithm incremental K means
... of clustering algorithms that specifically focus in binary ...Incremental K- means (IKM) algorithm to cluster the binary data ...new clustering algorithm compared to the ... See full document
6
Study and Implementing K mean Clustering Algorithm on English Text and Techniques to Find the Optimal Value of K
... in k-means algorithm. The correct choice of k is often ambiguous; to solve this problem different practitioner used different approaches Elbow method is also one of them to find the right ... See full document
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Novel way of finding initial means in k means clustering and validation using WEKA
... a novel choice for the randomly chosen initial means in the k-means ...the k-means clustering, to find the proposed initial means, certain objects are found and ... See full document
5
Iteration Reduction K Means Clustering Algorithm
... standard K Means algorithm is improved by reducing the number of iterations required for obtaining the final ...obtained using K Means clustering ...into k subsets ... See full document
6
Classification and Analysis of High Dimensional Datasets using Clustering and Decision tree
... analysis. Clustering is a challenged research field which belongs to unsupervised ...completely. Clustering can be the pretreatment part of other algorithms or an independent tool to obtain data ... See full document
5
AUTOMATIC DETECTION OF POMEGRANATE FRUITS USING K-MEANS CLUSTERING
... by using the image clustering algorithm in a machine vision ...feature using k-means clustering algorithm. The K-Means algorithm produces ... See full document
5
Implementing & Improvisation of K-means Clustering Algorithm
... basic K-mean clustering algorithm, clusters are fully dependent on the selection of the initial clusters ...centroids. K data elements are selected as initial centers; then distances of all ... See full document
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Clustering in Big Data Using K Means Algorithm Ajitesh Janaswamy
... 2. K-Means Clustering Based on K-Medoids: K-Means clustering has been successfully used in a series of problems, ...AP clustering is still a difficult ...AP ... See full document
6
Survey on Brain Tumor Detection using K-Means Clustering Algorithm
... NiladriHalder (2016) The executed technique segments the brain tissues from the other tissues of the human head in an automatic way. The convolutions of the brain are noticed and white matter, gray matter, and CSF are ... See full document
5
IMAGE SEGMENTATION USING K-MEANS CLUSTERING BASED THRESHOLDING ALGORITHM
... and K-means algorithm to obtain high performance and ...and K-means clustering ...the k-means clustering and local thresholding technique were chosen for ... See full document
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Determining a Cluster Centroid of K-Means Clustering Using Genetic Algorithm
... of clustering is to find a high-quality cluster where the distances between clusters is maximal and distance in the cluster is minimal ...of clustering that can be used is the K-Means ... See full document
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Centroids Initialization for K Means Clustering using Improved Pillar Algorithm
... of K means highly depends upon the correctness of the initial centroids which are chosen randomly that can be trapped in local minima and led to incorrect clustering ...for K means ... See full document
6
Concept Based Document Clustering Using Bisecting K Means Algorithm
... Document clustering has been investigated for use in a number of different areas of text mining and information ...document clustering was investigated for improving the precision or recall in information ... See full document
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Improved Innovative Center Using K-means Clustering Algorithm and EFCA
... [17]. Clustering is a division of data into groups of similar ...The clustering algorithm attempts to find natural groups of components, based on some ...Traditional clustering algorithms will ... See full document
5
Classification And Clustering Of User Mails By Using An Improved K-Means Clustering Algorithm
... of clustering algorithms, consisting of hierarchical clustering, ok- approach clustering, self-organizing map (SOM), and most important additives analysis (PCA), had been ...okay-approach ... See full document
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Hybrid optimization for k-means clustering learning enhancement
... K-means clustering, originating from signal processing is a method of vector quantization (Al-Jarrah et ...of K-means clustering is partitioning n observations into K ... See full document
47
Algorithm 1: The k-means clustering algorithm
... HE K-MEANS CLUSTERING ALGORITHM This section describes the original k-means clustering al- ...into k number of disjoint clusters, where the value of k is ... See full document
5
A REVIEW ON FORENSIC DOCUMENT ANALYSIS USUNG APRIORIALGORITHM
... and clustering algorithm, was present in ...by using structural, domain-specific, syntactic, and lexical ...e-mails clustering for forensic analysis was also introduced, using three ... See full document
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