kmeans  The Advantages of Careful Seeding David Arthur Sergei Vassilvitskii Abstract The kmeans method is a widely used clustering technique that seeks to minimize the average squared distance between

kmeans The Advantages of Careful Seeding David Arthur Sergei Vassilvitskii Abstract The kmeans method is a widely used clustering technique that seeks to minimize the average squared distance between - Description

Although it o64256ers no accuracy guarantees its simplicity and speed are very appealing in practice By augmenting kmeans with a very simple ran domized seeding technique we obtain an algorithm that is 920log competitive with the optimal clustering ID: 8348 Download Pdf

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kmeans The Advantages of Careful Seeding David Arthur Sergei Vassilvitskii Abstract The kmeans method is a widely used clustering technique that seeks to minimize the average squared distance between

Although it o64256ers no accuracy guarantees its simplicity and speed are very appealing in practice By augmenting kmeans with a very simple ran domized seeding technique we obtain an algorithm that is 920log competitive with the optimal clustering

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kmeans The Advantages of Careful Seeding David Arthur Sergei Vassilvitskii Abstract The kmeans method is a widely used clustering technique that seeks to minimize the average squared distance between




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