Abstract: A generalization of K-means clustering algorithms including cluster size variables and covariance variables are introduced. Moreover an on-line version of that is considered. A constrained clustering algorithm using these generalizations and the idea in the COP K-means is proposed. Performances of the proposed algorithms are compared using numerical examples.

• Publication Date: 13-Jul-2013
• DOI: 10.15224/978-981-07-7021-1-01
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Abstract: In terms of the market of the on-line travel agencies, many new concepts and even commercial models emerge these years. Facing the big challenging of the Qunar, Net and Baidu’s integration, the C-Trip is quite hard to move forward. Yahoo, eBay, Google are on the multiple ways, but the C-Trip is devoted herself to go her professional way. Following the model, the only one, she will learn from Starbucks, Wal-Mart and McDonalds’s to do so. C-Trip has to be more innovative and creative in a long run, including her culture and inter-management, otherwise, she cannot be adaptive and sustainable. This paper is aiming at the C-Trip’sinnovative model to analyze the features and significance. The research may follow the mega-company’s development to dig the other special and sustainable value-sectors. It’s just a guiding-way to say something to the other on-line travelling corporations.

• Publication Date: 13-Jul-2013
• DOI: 10.15224/978-981-07-7021-1-02
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• Downloads: 0