content based clustering algorithm
Clustering algorithm for audio signals based on the sequential Psim matrix and Tabu Search
... implements clustering iteratively with respect to the content and feature ...The clustering result is adjusted as per the semantic relationship between the theme and characteristic, realizing a ...
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Enhancing Content based Image Retrieval using Moving K Means Clustering Algorithm
... In moving k-means clustering algorithm, first user have to give input the number of desired clusters. The data set is randomly divided into no. of desired clusters. In each cluster the middle point is ...
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Human Oriented Content Based Image Retrieval using Clustering and Interactive Genetic Algorithm
... a content based image retrieval (CBIR) system is an important research topic which aims to retrieve the desired images effectively and precisely from a large image ...genetic algorithm (IGA) with ...
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Self-feedback image retrieval algorithm based on annular color moments
... are based on low-level visual features (such as color and texture), and the retrieval process is computer-centric, which makes its retrieval performance ...method based on rele- vance feedback (RF) is ...
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Optimization of Web Content Mining with an Improved Clustering Algorithm
... assets. Clustering is a technique to group together a set of items having similar characteristics ...views. Clustering analysis in web usage mining intends to find the cluster of user, page, or sessions ...
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Content-Based Image Retrieval through Clustering
... itself, content based Image retrieval (CBIR) [9][13] has received significant attention in the literature as a promising technique to facilitate improved image ...
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Content based Color Image Clustering
... Image clustering involves the extraction of features from image databases and then application of data mining algorithm to group ...Coding algorithm and histogram ...K-means clustering ...
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Customized Halftoning-Based Block Truncation Coding for Content-Based Image Retrieval using Hierarchical Clustering Algorithm
... Halftoning Based Block Truncation Coding For Content Based Image Retrieval system improve result accuracy and efficiency than existing ...hierarchical clustering algorithm, featured ...
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SPATIO TEMPORAL FEATURE EXTRACTION WITH VISUAL CONTENT CLUSTER AND VP-TREE INDEXING FOR VIDEO RETRIEVAL
... extraction based visual content clustering algorithm that efficiently groups the videos in given data set with respect to their visual contents of spatio temporal features in video ...the ...
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Image Retrieval Using Modified Haar Wavelet Transform and K Means Clustering
... The Content Based Image Retrieval (CBIR) has been an active research ...images based on a query image, which is specified by ...technique based on wavelet transformations by which a feature ...
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Efficient Clustering of Web Documents Using Hybrid Approach in Data Mining
... Document Clustering using Hybrid Approach in Data ...of clustering of the web documents using Hybrid Approach such as content as well as hyperlinks using hierarchical agglomerative algorithm ...
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High Dimensional Data used in Consensus Neighbour Clustering with Fuzzy Based K-Means and Kernel Mapping
... consensus clustering methods, namely the K-means-based algorithm, the graph partitioning algorithm (GP), and the hierarchical algorithm (HCC), were employed for the comparison ...
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iOPTICS-GSO for identifying protein complexes from dynamic PPI networks
... the algorithm named iOPTICS-GSO, which is the improved OPTICS algo- rithm by using GSO to optimize the parameter in OP- TICS, and we changed the concept of core node and redefine the similarity which makes more ...
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CLUSTERING WITH SIDE INFORMATION FOR MINING TEXT DATA
... Text mining, also referred to as text data mining, roughly equivalent to text analytics, refers to the process of deriving high-quality information from text. High-quality information is typically derived through the ...
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Rapid Ant based clustering-genetic algorithm (RAC-GA) with local search for clustering problem Pages 435-444 Download PDF
... Data clustering is defined as a gathering the objects into some group such that, the objects in the particular group have the most similarity and differ from the objects of other groups (Larose, ...measured ...
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Mobile Agent Embedding in Cluster based Wireless Sensor Network Environment
... Abstract: Today wireless Sensor Networks is new research area for researchers in wireless technology. There is two type of wireless network one is infrastructure and second is infrastructure less .WSN is an example of ...
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Reliability-Based Controller Placement Algorithm in Software Defined Networking
... a clustering based optimal controller placement algorithm and sub-optimal al- gorithm base on greedy algorithm are proposed, ...modified clustering based and greedy based ...
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Content based Image Retrieval using Clustering
... finding distance[1].In the pre-processing stage noise from the image are removed and image converted in some suitable format so that operation on the image can be performed easily and quickly. In the next step various ...
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Grid Density Based Clustering Algorithm
... grids based on densities of their neighbors. Grid density clustering algorithm is able to handle different shaped clusters in multi-density ...clustered based on their ...
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A Firefly based improved clustering algorithm
... Chart 1 and the table 2 shows the evaluated performance in terms of accuracy. In this figure the amount of dataset instances for evaluation is given in X axis and the Y axis shows the percentage accuracy obtained by the ...
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