{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:6S64G22K4RWF2XG5G3VLZRX6EW","short_pith_number":"pith:6S64G22K","canonical_record":{"source":{"id":"1302.3123","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-01-08T17:16:39Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"ddf86b1d246507230d4f57c1c405f0c079840ad6290e9842335454c5f49571b3","abstract_canon_sha256":"4185e1ba19c4e30a7c173fae2f6ad649de15cb3f89634b156875b62dd4221462"},"schema_version":"1.0"},"canonical_sha256":"f4bdc36b4ae46c5d5cdd36eabcc6fe2592ed099cda4aa4be80f186173155f50e","source":{"kind":"arxiv","id":"1302.3123","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1302.3123","created_at":"2026-05-18T03:33:48Z"},{"alias_kind":"arxiv_version","alias_value":"1302.3123v1","created_at":"2026-05-18T03:33:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1302.3123","created_at":"2026-05-18T03:33:48Z"},{"alias_kind":"pith_short_12","alias_value":"6S64G22K4RWF","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_16","alias_value":"6S64G22K4RWF2XG5","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_8","alias_value":"6S64G22K","created_at":"2026-05-18T12:27:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:6S64G22K4RWF2XG5G3VLZRX6EW","target":"record","payload":{"canonical_record":{"source":{"id":"1302.3123","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-01-08T17:16:39Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"ddf86b1d246507230d4f57c1c405f0c079840ad6290e9842335454c5f49571b3","abstract_canon_sha256":"4185e1ba19c4e30a7c173fae2f6ad649de15cb3f89634b156875b62dd4221462"},"schema_version":"1.0"},"canonical_sha256":"f4bdc36b4ae46c5d5cdd36eabcc6fe2592ed099cda4aa4be80f186173155f50e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:33:48.666390Z","signature_b64":"z3yhLMfIUOBfgx44wa8ib/B8XCsKaKX0N+T9uUhtVFD0cHxLbG/vtfaVLxsF2maN0kkSPH3v2bwViIlvqkAOBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f4bdc36b4ae46c5d5cdd36eabcc6fe2592ed099cda4aa4be80f186173155f50e","last_reissued_at":"2026-05-18T03:33:48.665712Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:33:48.665712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1302.3123","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:33:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V1m+0ojHdM51C4xQ7FA8msEJq9VH+WOmCJyONuQ4ATahT6EZUsdn+Q0fU8t6scH2oEeyInnGv93kWH2ObIfSAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T22:51:56.097526Z"},"content_sha256":"f13dadde4afcf4eb853fad91fcf5a6d78b6e0d3833c0520306b8152bdc31875f","schema_version":"1.0","event_id":"sha256:f13dadde4afcf4eb853fad91fcf5a6d78b6e0d3833c0520306b8152bdc31875f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:6S64G22K4RWF2XG5G3VLZRX6EW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Analysis of Gene Expression Data using Penalized Fuzzy C-Means Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE"],"primary_cat":"cs.CV","authors_text":"H. Hannah Inbarani, P. K. Nizar Banu","submitted_at":"2013-01-08T17:16:39Z","abstract_excerpt":"With the rapid advances of microarray technologies, large amounts of high-dimensional gene expression data are being generated, which poses significant computational challenges. A first step towards addressing this challenge is the use of clustering techniques, which is essential in the data mining process to reveal natural structures and identify interesting patterns in the underlying data. A robust gene expression clustering approach to minimize undesirable clustering is proposed. In this paper, Penalized Fuzzy C-Means (PFCM) Clustering algorithm is described and compared with the most repre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1302.3123","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:33:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UanivRQYeQ0xdnK54Q1PN3C3csDv11gfykxlaqYg0nsHPzLfEDO7WZSO1c9Xg34jH0C23tCmOpUCaib5LcAGCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T22:51:56.097878Z"},"content_sha256":"634936ecc5a83ed23a164a971a722a259842e04e337328f1b4ec8e4104ca339b","schema_version":"1.0","event_id":"sha256:634936ecc5a83ed23a164a971a722a259842e04e337328f1b4ec8e4104ca339b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6S64G22K4RWF2XG5G3VLZRX6EW/bundle.json","state_url":"https://pith.science/pith/6S64G22K4RWF2XG5G3VLZRX6EW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6S64G22K4RWF2XG5G3VLZRX6EW/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-02T22:51:56Z","links":{"resolver":"https://pith.science/pith/6S64G22K4RWF2XG5G3VLZRX6EW","bundle":"https://pith.science/pith/6S64G22K4RWF2XG5G3VLZRX6EW/bundle.json","state":"https://pith.science/pith/6S64G22K4RWF2XG5G3VLZRX6EW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6S64G22K4RWF2XG5G3VLZRX6EW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:6S64G22K4RWF2XG5G3VLZRX6EW","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"4185e1ba19c4e30a7c173fae2f6ad649de15cb3f89634b156875b62dd4221462","cross_cats_sorted":["cs.CE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-01-08T17:16:39Z","title_canon_sha256":"ddf86b1d246507230d4f57c1c405f0c079840ad6290e9842335454c5f49571b3"},"schema_version":"1.0","source":{"id":"1302.3123","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1302.3123","created_at":"2026-05-18T03:33:48Z"},{"alias_kind":"arxiv_version","alias_value":"1302.3123v1","created_at":"2026-05-18T03:33:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1302.3123","created_at":"2026-05-18T03:33:48Z"},{"alias_kind":"pith_short_12","alias_value":"6S64G22K4RWF","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_16","alias_value":"6S64G22K4RWF2XG5","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_8","alias_value":"6S64G22K","created_at":"2026-05-18T12:27:36Z"}],"graph_snapshots":[{"event_id":"sha256:634936ecc5a83ed23a164a971a722a259842e04e337328f1b4ec8e4104ca339b","target":"graph","created_at":"2026-05-18T03:33:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"With the rapid advances of microarray technologies, large amounts of high-dimensional gene expression data are being generated, which poses significant computational challenges. A first step towards addressing this challenge is the use of clustering techniques, which is essential in the data mining process to reveal natural structures and identify interesting patterns in the underlying data. A robust gene expression clustering approach to minimize undesirable clustering is proposed. In this paper, Penalized Fuzzy C-Means (PFCM) Clustering algorithm is described and compared with the most repre","authors_text":"H. Hannah Inbarani, P. K. Nizar Banu","cross_cats":["cs.CE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-01-08T17:16:39Z","title":"An Analysis of Gene Expression Data using Penalized Fuzzy C-Means Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1302.3123","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f13dadde4afcf4eb853fad91fcf5a6d78b6e0d3833c0520306b8152bdc31875f","target":"record","created_at":"2026-05-18T03:33:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"4185e1ba19c4e30a7c173fae2f6ad649de15cb3f89634b156875b62dd4221462","cross_cats_sorted":["cs.CE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-01-08T17:16:39Z","title_canon_sha256":"ddf86b1d246507230d4f57c1c405f0c079840ad6290e9842335454c5f49571b3"},"schema_version":"1.0","source":{"id":"1302.3123","kind":"arxiv","version":1}},"canonical_sha256":"f4bdc36b4ae46c5d5cdd36eabcc6fe2592ed099cda4aa4be80f186173155f50e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f4bdc36b4ae46c5d5cdd36eabcc6fe2592ed099cda4aa4be80f186173155f50e","first_computed_at":"2026-05-18T03:33:48.665712Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:33:48.665712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"z3yhLMfIUOBfgx44wa8ib/B8XCsKaKX0N+T9uUhtVFD0cHxLbG/vtfaVLxsF2maN0kkSPH3v2bwViIlvqkAOBg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:33:48.666390Z","signed_message":"canonical_sha256_bytes"},"source_id":"1302.3123","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f13dadde4afcf4eb853fad91fcf5a6d78b6e0d3833c0520306b8152bdc31875f","sha256:634936ecc5a83ed23a164a971a722a259842e04e337328f1b4ec8e4104ca339b"],"state_sha256":"7dbb9c8e421da9587f2c386c3cdae272b57c2f50ad8e4bffb6af551cf5aff029"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6GxTi4yBAutiCNFwQql/dQJMMIv7xqBORUf3KBy7aLeDsKM6UuXMvKnrsQrA/8R7rCXhnh5AY0SB0WZ3cNbYDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T22:51:56.099800Z","bundle_sha256":"6cbf738157609aa7eaefed82d5641f3c7191eb926af79a3aa5f0079d8308f505"}}