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Title: source code for clustering with multi viewpoint based similarity measure in java
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Posted By: jrsekhar
Created at: Thursday 05th of October 2017 04:49:04 AM
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Abstract
All clustering methods have to assume some cluster relationship among the data objects that they are applied on. Similarity between a pair of objects can be defined either explicitly or implicitly. In this paper, we introduce a novel multi-viewpoint based similarity measure and two related clustering methods. The major difference between a traditional dissimilarity/similarity measure and ours is that the former uses only a single viewpoint, which is the origin, while the latter utilizes many different viewpoints, which are objects ass ....etc

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Title: source code for clustering with multi view point
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Posted By: harishpanchal_18
Created at: Thursday 17th of August 2017 04:51:23 AM
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Title: coding for clustering with multiview point bsed similarity measure
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Posted By: Nicky soman
Created at: Thursday 17th of August 2017 06:19:39 AM
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Title: enhanced assessment of the wound healing process by accurate multiview tissue classi
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Title: ppts for clustering with multi viewpoint based similarity measure
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Posted By: rupesh
Created at: Thursday 17th of August 2017 04:52:22 AM
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Title: clustering with multi viewpoint based similarity measure ppt
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Posted By: Reshma B.M
Created at: Thursday 05th of October 2017 05:00:29 AM
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Title: clustering with multi viewpoint based similarity measure
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Posted By: mathewjmanavalan
Created at: Thursday 05th of October 2017 03:53:22 AM
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Title: semi supervised clustering with multi viewpoint based similarity measure ppt
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Posted By: Ammu
Created at: Thursday 05th of October 2017 04:01:33 AM
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Title: Quantitative Analysis of a Common Audio Similarity Measure
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Posted By: sruthy
Created at: Friday 06th of October 2017 03:14:30 PM
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Quantitative Analysis of a Common Audio Similarity Measure

Jesper H jvang Jensen, Member, IEE, Mads Gr sb ll Christensen, Member, IEE,
Daniel P. W. Ellis, Senior Member, IEE, and S ren Holdt Jensen, Senior Member, IEE

abstract
For music information retrieval tasks, a nearest neighbor classifier using the Kullback Leibler divergence between Gaussian mixture models of songs melfrequency cepstral coefficients is commonly used to match songs by timbre. In this paper, we analyze this dist ....etc

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