[PDF] Top 20 Distance Based Similarity Between Text Documents Using Euclidean Distance
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Distance Based Similarity Between Text Documents Using Euclidean Distance
... which similarity can be evaluated. The first category of similarity evaluation is based on the document size and structure the length of the document, the number of paragraphs, number of sentences, ... See full document
7
Article Description
... developed using totally different techniques and ...of similarity (or distance) among ...the similarity formula defined and embedded in the clustering criterion ...the similarity ... See full document
5
Recognition of Bisindo Alphabets Based on Chain Code Contour and Similarity of Euclidean Distance
... of similarity feature using Euclidean distance with probability of chain code as reference feature is very effective where method we used can read test image size have smaller or larger than ... See full document
9
Title: An Enhanced Model for the Classification of Mined Data
... Abstract— Text mining is the process of deriving high-quality information from ...input text, extracting previously unknown pattern and deriving patterns with the structured ...data. Text ... See full document
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Detecting Paraphrases in Tamil Language Sentences
... given text fragments have the same meaning or ...language using the statistical and semantic analysis of ...the similarity between two Tamil sentences based on Jaccard , Dice, Cosine ... See full document
5
Support vector classification of remote sensing images using improved spectral Kernels
... In this paper two spectral similarity measures are incorporated into the SVM kernel and classification results on benchmark data are compared with the standard Euclidean distance based c[r] ... See full document
13
International Journal of Computer Science and Mobile Computing
... correlation similarity measure space. The documents are considered into a low dimensional semantic space, the correlations between the documents in the local patches are maximized and ... See full document
6
SYMMETRIC CRYPTOGRAPHY KEYS MANAGEMENT FOR 6LOWPAN NETWORKS
... and text analysis posted generally on social media by users in order to discover the suspicious published contents with the deduction of the suspicious behavior users on the ...challenge using techniques of ... See full document
6
Multiwavelet based Texture Features for Content based Image Retrieval
... Content based image Retrieval has become one of the most active research areas in the past few years ...system using multiwavelet based features with high retrieval rate and less computational ... See full document
6
Visual analytics of delays and interaction in movement data
... trajectories using DTW and ...erent similarity measures to detect a loop pattern in the ultimate Frisbee data: (a) based on the Euclidean distance measure, (b) based on the ... See full document
27
EFFECT OF DISTANCE MEASURES ON TRANSFORM BASED IMAGE CLASSIFICATION
... Cosine similarity is a measure of similarity between two vectors by measuring the cosine of the angle between ...angle between the vectors shortens, the cosine angle approaches 1, ... See full document
14
A Power Attack Method Based on Clustering
... the similarity between samples to automatically classify, and the power information generated in the encryption process has a certain ...paper. Similarity between the power data is considered ... See full document
7
Comparative Analysis of N-gram Text Representation on Igbo Text Document Similarity
... any text-based system starts with the collection of text ...Igbo text needs UTF-8 encoding ...translates text in files in a particular encoding like the Igbo text written with ... See full document
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Abstract Although most methods for data finding and
... of similarity search based on Euclidean distance, we use a Web database of mobile phone ...approximate similarity search is explained via running examples in the following ... See full document
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Effectively and Efficiency Consideration for Spatial Database
... distances between objects, using Euclidean Distance to compute the similarity between them, and retrieve the sets of object from database based on Euclidean ... See full document
6
TOWARDS SECURE CLOUD COMPUTING USING DIGITAL SIGNATURE
... trend similarity patterns caused by intentional copying of documents, then it is necessary to be created a detection tool to identify the terms pattern in those ...on text document pattern ... See full document
8
Significant Sentence Extraction by Euclidean Distance Based on Singular Value Decomposition
... corresponding significant words. Since the significant words collectively repre- sent the main theme of a document, it is important to find them more reason- ably. For the purpose of this doing , the word frequency of a ... See full document
10
Distances, Hesitancy Degree and Flexible Querying via Neutrosophic Sets
... As soon as we accept vague terms in queries we also have to modify our meaning of matching between the query and a record of database. It would be unreasonable to require the answer for a NS-query to be completely ... See full document
6
Penalised Euclidean distance regression
... Melanoma: In this application, we implement PED as a variable selection tool when the response variable serves as binary classification. We consider an application of the method to a proteomics dataset from the study of ... See full document
14
Enhanced self organizing map with particle swarm optimization for classification problems
... by the links between neurons and essentials parameters. In ANN model, simple neurons are connected together to form series of connected network. While a neural network does not have to be adaptive, its advantages ... See full document
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