http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106815804-A
Outgoing Links
Predicate | Object |
---|---|
assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_568e225faf38e6878a4cfeeb82275ddb |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T3-0031 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T3-00 |
filingDate | 2016-12-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9adef0dff5342c45e3a6455b6b4a0240 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e9db1860cbb01e68369e67b014d77d68 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_bbf0ad99399e561df35b998eb93c02e8 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3f579e24186d5e16a50e1b564600c63f |
publicationDate | 2017-06-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-106815804-A |
titleOfInvention | A kind of complex field manifold processing method |
abstract | The invention discloses a kind of complex field manifold processing method, belong to complex field computing technique field, be included in pending higher-dimension complex field data set X={ x 1 ,x 2 ,…,x I ,…,x N In appoint take a data point as datum mark p;The size of local domain k, k arest neighbors B (p) of selection datum mark p are set;The linear dimension-reduction algorithm PCA of complex field is performed in the external space of B (p), one group of orthonormal basis that B (p) cuts space at p points is obtained;Orthogonal basis according to gained obtains p to the geodesic curve distance of every other point and direction in data set, is corresponding lower dimensional space data set by the Data Dimensionality Reduction of pending higher-dimension complex field data set.The present invention expands to plural domain space by by the manifold learning arithmetic LOGMAP of real number field, plural numeric field data to higher-dimension carries out dimension-reduction treatment, the point on higher dimensional space is represented in lower dimensional space on the basis of original high dimensional data feature is ensured, facilitates the storage and treatment of data. |
isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108921192-A |
priorityDate | 2016-12-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Predicate | Subject |
---|---|
isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID25572 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415713197 |
Total number of triples: 17.