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Title: Grayscale Image Retrieval using DCT on Row mean Column mean and Combination
Page Link: Grayscale Image Retrieval using DCT on Row mean Column mean and Combination -
Posted By: AwarseAcrobre
Created at: Thursday 05th of October 2017 05:34:06 AM
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Grayscale Image Retrieval using DCT on Row mean,
Column mean and Combination




Abstract

Today in the age of information explosion, how to search appropriate data from huge information
pool has become vital issue. Images have giant share in this information pool. Because of easy
availability of imaging devices, millions of images are being added to image pool every day. Image
retrieval deals with searching relevant images from large image database. The paper presents novel
image retrieval techniques bas ....etc

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Title: adaptive fuzzy k means clustering algorithm for image segmentation matlab code
Page Link: adaptive fuzzy k means clustering algorithm for image segmentation matlab code -
Posted By: Nishab
Created at: Thursday 17th of August 2017 06:33:27 AM
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adaptive fuzzy k means clustering algorithm for image segmentation matlab code

Abstract

Clustering algorithms have successfully been applied as a digital image segmentation technique in various fields and applications. However, those clustering algorithms are only applicable for specific images such as medical images, microscopic images etc. In this paper, we present a new clustering algorithm called Adaptive Fuzzy-K-means (AFKM) clustering for image segmentation which could be applied on general images and/or specific images (i.e., medical a ....etc

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Title: Agglomerative Mean-Shift Clustering
Page Link: Agglomerative Mean-Shift Clustering -
Posted By: anoop1988
Created at: Friday 06th of October 2017 03:05:35 PM
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Abstract Mean-Shift (MS) is a powerful nonparametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets. In this paper, for the purpose of algorithmic speedup, we develop an agglomerative MS clustering method along with its performance analysis. Our method, namely Agglo-MS, is built upon an iterative query set compression mechanism which is motivated by the quadratic bounding optimization nature of MS algorithm. The whole framework can be efficiently implemente ....etc

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Title: java code for fuzzy c means clustering algorithm
Page Link: java code for fuzzy c means clustering algorithm -
Posted By: swathikakulla
Created at: Thursday 17th of August 2017 06:30:37 AM
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java code for fuzzy c means clustering algorithm

Abstract

Data clustering is the process of dividing data elements from original images into classes or clusters so that items in the same class are as similar as possible, and items in different classes are as dissimilar as possible. Depending on the nature of the data and the purpose for which clustering is being used, different measures of similarity may be used to place items into classes, where the similarity measure controls how the clusters are formed. Some examples of measures that can b ....etc

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Title: algorithm for fuzzy c means clustering java
Page Link: algorithm for fuzzy c means clustering java -
Posted By: sandy_k1404
Created at: Thursday 17th of August 2017 04:43:08 AM
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To get full information or details of algorithm for fuzzy c means clustering java please have a look on the pages

http://seminarsprojects.net/Thread-effective-fuzzy-clustering-algorithm-for-abnormal-mr-brain-image-segmentation-report

http://seminarsprojects.net/Thread-a-fuzzy-self-constructing-feature-clustering-algorithm-for-text-classification

http://seminarsprojects.net/Thread-to-design-a-fuzzy-similarity-based-self-constructing-feature-clustering-algorithm

http://seminarsprojects.net/Thread-spatial-fuzzy-clustering-using-em-and-markov ....etc

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Title: developing an algorithm for data mining using clustering genetic algorithm at c
Page Link: developing an algorithm for data mining using clustering genetic algorithm at c -
Posted By: ijaz
Created at: Thursday 17th of August 2017 08:10:01 AM
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developing an algorithm for data mining using clustering genetic algorithm at c++

With an enormous amount of data stored in databases and data warehouses, it is increasingly important to develop powerful tools for analysis of such data and mining interesting knowledge from it. Data mining is more than slicing and dicing of data; it is a powerful business intelligence technology that provides knowledge about unknown patterns and events from large databases. Data mining technologies have known to significantly reduce operational costs and impr ....etc

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Title: Clustering a data set using Fuzzy K mean algorithm
Page Link: Clustering a data set using Fuzzy K mean algorithm -
Posted By: nitishrao
Created at: Thursday 17th of August 2017 08:15:57 AM
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To get full information or details of Clustering a data set using Fuzzy K mean algorithm please have a look on the pages

http://seminarsprojects.net/Thread-data-clustering-a-seminar-report

if you again feel trouble on Clustering a data set using Fuzzy K mean algorithm please reply in that page and ask specific fields in Clustering a data set using Fuzzy K mean algorithm ....etc

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Title: adaptive fuzzy k mean clustering algorithm for image segmentation
Page Link: adaptive fuzzy k mean clustering algorithm for image segmentation -
Posted By: aslimath
Created at: Thursday 17th of August 2017 05:03:02 AM
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can you provide clear explanation for the formulas used in adaptive fuzzy k mean clustering algorithm for image segmentation.. n how the calculations are done??? ....etc

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Title: code for the fuzzy self constructing feature clustering algorithm for text classific
Page Link: code for the fuzzy self constructing feature clustering algorithm for text classific -
Posted By: sumitgupta
Created at: Thursday 05th of October 2017 03:46:00 AM
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:-/give source code for the fuzzy self constructing feature clustering algorithm for text classification ....etc

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Title: fuzzy k means clustering algorithm for image segmentation
Page Link: fuzzy k means clustering algorithm for image segmentation -
Posted By: sagi_vpn
Created at: Thursday 17th of August 2017 08:30:13 AM
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fuzzy k means clustering algorithm for image segmentation

Abstract

Clustering algorithms have successfully been applied as a digital image segmentation technique in various fields and applications. However, those clustering algorithms are only applicable for specific images such as medical images, microscopic images etc. In this paper, we present a new clustering algorithm called Adaptive Fuzzy-K-means (AFKM) clustering for image segmentation which could be applied on general images and/or specific images (i.e., medical and microscopic images ....etc

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