Spectral Feature Selection for Data Mining
This timely introduction to spectral feature selection illustrates the potential of this powerful dimensionality reduction technique in high-dimensional data processing. It presents the theoretical foundations of spectral feature selection, its connections to other algorithms, and its use in handlin...
সংরক্ষণ করুন:
| প্রধান লেখক: | |
|---|---|
| অন্যান্য লেখক: | |
| বিন্যাস: | বৈদ্যুতিক গ্রন্থের অধ্যায় |
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
Taylor & Francis
2012
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | OAPEN Library: download the publication OAPEN Library: description of the publication |
| ট্যাগগুলো: |
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| 520 | |a This timely introduction to spectral feature selection illustrates the potential of this powerful dimensionality reduction technique in high-dimensional data processing. It presents the theoretical foundations of spectral feature selection, its connections to other algorithms, and its use in handling both large-scale data sets and small sample problems. Readers learn how to use spectral feature selection to solve challenging problems in real-life applications and discover how general feature selection and extraction are connected to spectral feature selection. Source code for the algorithms is available online. | ||
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