Invention Grant
- Patent Title: Processing of high-dimensional categorical predictors in classification settings
- Patent Title (中): 在分类设置中处理高维分类预测因子
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Application No.: US10837246Application Date: 2004-04-30
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Publication No.: US07933851B2Publication Date: 2011-04-26
- Inventor: Eugene Tuv
- Applicant: Eugene Tuv
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Schwegman, Lundberg & Woessner, P.A.
- Main IPC: G06N5/00
- IPC: G06N5/00

Abstract:
Systems and methods provide for preprocessing non-metric response categories in order to efficiently cluster or partition predictors have similar responses. The non-metric response categories are transformed into distance vectors by calculating a frequency count for the response, transforming the frequency count to a proportional value, and calculating a distance vector using the vector of proportional values.
Public/Granted literature
- US20050246361A1 Processing of high-dimensional categorical predictors in classification settings Public/Granted day:2005-11-03
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N5/00 | 利用基于知识的模式的计算机系统 |